2022_01_31_SA_TS_tin_yuet_chung.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "removed-implement",
   "metadata": {},
   "source": [
    "# Apply Simulated Annealing and Tabu Search to solve the knapsack problem\n",
    "\n",
    "**Purpose**: To apply Simulated Annealing and Tabu Search to solve the knapsack problem <br>\n",
    "**Author**: Tin-Yuet CHUNG<br>\n",
    "**Date**: 31 January 2022 <br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "printable-damage",
   "metadata": {},
   "source": [
    "**Contents**\n",
    "\n",
    "- [1 Global environment and problem statement](#env)\n",
    "- [2 Import packages](#import)\n",
    "- [3 Read data](#read)\n",
    "- [4 Functions](#func)\n",
    "- [5 Run the Simulated Annealing algorithm](#run)\n",
    "- [6 Run the Tabu Search algorithm](#run_tabu)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "statewide-divide",
   "metadata": {},
   "source": [
    "<a name='env'></a>\n",
    "# 1 Global environment and problem statement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "alleged-issue",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 3.7.7\n"
     ]
    }
   ],
   "source": [
    "# check the python version on Anaconda\n",
    "! python --version to get the python version."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "underlying-warner",
   "metadata": {},
   "source": [
    "## problem statement\n",
    "***Knapsack problem***\n",
    "\n",
    "There are n items with specific weights and values (w, v) associated with each of those items.\n",
    "\n",
    "The knapsack has a maximum total weight limit. \n",
    "\n",
    "The goal in this problem is to find the subset of items that a knapsack can contain, with the total weight remaining under the knapsack weight limit and without exceeding the maximum total value of items.\n",
    "\n",
    "In this problem, our goal is to maximise the total value with the capacity constraint.\n",
    "\n",
    "### The capacity of the knapsack must be kept at 1500."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "norwegian-christianity",
   "metadata": {},
   "source": [
    "<a name='import'></a>\n",
    "# 2 Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "headed-heather",
   "metadata": {},
   "outputs": [],
   "source": [
    "from random import random\n",
    "import random\n",
    "import math\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib \n",
    "matplotlib.rc('xtick', labelsize=15) \n",
    "matplotlib.rc('ytick', labelsize=15) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "coral-holly",
   "metadata": {},
   "source": [
    "<a name=\"read\"></a>\n",
    "# 3 Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "peripheral-implement",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('knapsack.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "heard-packing",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    weights  values\n",
      "0        21      96\n",
      "1        12      99\n",
      "2        30      52\n",
      "3        24     100\n",
      "4        45      46\n",
      "..      ...     ...\n",
      "95       47      93\n",
      "96       28       6\n",
      "97       24      53\n",
      "98       25      12\n",
      "99       16      39\n",
      "\n",
      "[100 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "blind-albania",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of items in the dataset/knapsack =  100\n",
      "capacity of the knapsack =  1500\n",
      "values of items:\n",
      "[ 96  99  52 100  46  43  22  20  84  73  53  83  52  56  22  59  15   6\n",
      "  69  61  22  41  63  56  13  17   1  42  49  16  67   2  12  96  98   4\n",
      "  50  87  25  84  82  63   1  38  91  69  38  64  25  58  99  85  29  69\n",
      "  36  99   9  26  82   9  54  81  74  15  44  36  48  59  15  91  65  17\n",
      "  57  94  79  69  47  27  57  25  32  92  89  80  93  18  52  63  92  67\n",
      "  39  75  82  61   9  93   6  53  12  39]\n",
      "weights of items:\n",
      "[21 12 30 24 45 47 41 36 38 45  4 17  1 42 26 19 12 27 15  4  5  4 21  7\n",
      " 23 45 18  7 29 44 18  3  8  4 38 23 34 35 29 32 44 34 44 24  8  4 36 16\n",
      " 34 33 27 36 26 25 25 47 20  6 13 35 42 49 11 39 30 21 26 25 33 38 16  5\n",
      " 42 20 39  9  6 46 44 50 44  2 28 50 26 44  4 50 47 29 22 17 37  1 19 47\n",
      " 28 24 25 16]\n"
     ]
    }
   ],
   "source": [
    "values = df['values'].to_numpy()\n",
    "weights = df['weights'].to_numpy()\n",
    "n_items = len(df)\n",
    "capacity = 1500\n",
    "print('number of items in the dataset/knapsack = ',n_items)\n",
    "print('capacity of the knapsack = ',capacity)\n",
    "print('values of items:')\n",
    "print(values)\n",
    "print('weights of items:')\n",
    "print(weights)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "organizational-muslim",
   "metadata": {},
   "source": [
    "<a name='func'></a>\n",
    "# 4 Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "obvious-execution",
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate(packing):\n",
    "    '''\n",
    "    Returns a list of [v,w], where v and w are the total value and weight of packing respectively\n",
    "\n",
    "            Parameters:\n",
    "                    packing (numpy array): numpy array of 1/0 to indicate a specified packing\n",
    "\n",
    "            Returns:\n",
    "            if  w > capacity:\n",
    "            [w-capacity, w] (list):  (w-capacity) is total weight of packing minus the capacity\n",
    "                                     w is the total weight of packing \n",
    "            else:\n",
    "                    [v,w] (list):  v and w are the total value and weight of packing respectively\n",
    "    '''\n",
    "    array = np.array(packing)\n",
    "    values_array = np.array(values)\n",
    "    weights_array = np.array(weights)\n",
    "    # compute the total value of the items\n",
    "    v = np.dot(array, values_array)  \n",
    "    # compute the total weight of the items\n",
    "    w = np.dot(array, weights_array)  \n",
    "    if w > capacity:\n",
    "        return [w-capacity, w]\n",
    "    # returns array list of both total values and weight\n",
    "    else:\n",
    "        return [v, w]  # returns array list of both totarrayl varraylues arraynd totarrayl weight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "indoor-defensive",
   "metadata": {},
   "outputs": [],
   "source": [
    "def One_Flip_Neighbourhood(packing):\n",
    "    '''\n",
    "    Returns a list of of all neighbours in the Neighbourhood of packing\n",
    "\n",
    "            Parameters:\n",
    "                    packing (numpy array): numpy array of 1/0 to indicate a specified packing\n",
    "\n",
    "            Returns:\n",
    "                    neighbourhood (list): a list of of all neighbours in the Neighbourhood of packing\n",
    "                    The size of the 1-flip neighborhood = 100 \n",
    "    '''    \n",
    "    neighbourhood = []\n",
    "    for i in range(0, n_items):\n",
    "        temp = list(packing)\n",
    "        neighbourhood.append(temp)\n",
    "        if neighbourhood[i][i] == 1:\n",
    "            neighbourhood[i][i] = 0\n",
    "        else:\n",
    "            neighbourhood[i][i] = 1\n",
    "    return neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "opponent-ballet",
   "metadata": {},
   "outputs": [],
   "source": [
    "def Initial_solution(initial_proportion_items):  #initial prop of items is proportion of items in initial solution\n",
    "    '''\n",
    "    Returns a numpy array of the a specified packing/ initial solution\n",
    "\n",
    "            Parameters:\n",
    "                    initial_proportion_items (float): proportion of items in initial solution\n",
    "\n",
    "            Returns:\n",
    "                    packing (numpy array): numpy array of 1/0 to indicate a specified packing/ initial solution\n",
    "    '''\n",
    "    # seed\n",
    "    np.random.seed(1)    \n",
    "    # Draw samples from a binomial distribution\n",
    "    packing = np.random.binomial(1, initial_proportion_items, size=n_items)\n",
    "    print(\"Random Initial Solution of proportion: \", initial_proportion_items)\n",
    "    print(np.array(packing))\n",
    "    return packing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "selective-amendment",
   "metadata": {},
   "outputs": [],
   "source": [
    "def Simulated_Annealing(initial_proportion_items, initial_temperature, iter_per_temperature, final_temperature):\n",
    "    '''\n",
    "    Implementation of the Simulated Annealing with Cauchy cooling schedule AND one-flip neighbourhood\n",
    "    Cauchy cooling schedule is defined to update the temperature T_k, \n",
    "    where T_k = initial_temperature/(k+1), and k is the temperature step\n",
    "    \n",
    "    \n",
    "    Returns p: best packing, \n",
    "            v: total value of the items of the best packing, \n",
    "            w: total weight of the items of the best packing\n",
    "\n",
    "            Parameters:\n",
    "                   initial_proportion_items (float): proportion of items in initial solution\n",
    "                   initial_temperature (float): initial temperature\n",
    "                   iter_per_temperature (int): number of iterations per temperature\n",
    "                   final_temperature (float): final temperature\n",
    "            Returns:\n",
    "                    p (numpy array): numpy array of 1/0 to indicate the best packing\n",
    "                    v (float): total value of the items of the best packing\n",
    "                    w (float): total weight of the items of the best packing\n",
    "    '''\n",
    "    print(\"Simulated Annealing\")\n",
    "    print(\"Initial Proportion of items = \", initial_proportion_items)\n",
    "    print(\"Initial temperature = \", initial_temperature)\n",
    "    print(\"Final temperature = \", final_temperature)\n",
    "    print(\"Number of Iterations per temperature = \", iter_per_temperature)\n",
    "    # initialises no. of solutions checked\n",
    "    solutions_checked = 0\n",
    "    # initialises no. of improving moves\n",
    "    total_improvements = 0   \n",
    "    # initialises no. of random moves\n",
    "    total_random_steps = 0   \n",
    "    # packing_current holds the current solution\n",
    "    packing_current = Initial_solution(initial_proportion_items) \n",
    "    # packing_best holds the best solution\n",
    "    packing_best = packing_current[:]  \n",
    "    # e_current holds the evaluation of the current soluton\n",
    "    e_current = evaluate(packing_current)[:]  \n",
    "    e_best = e_current[:]\n",
    "    k = 0\n",
    "    # checks the temperature\n",
    "    while (initial_temperature/(k+1) > final_temperature):  \n",
    "        # Counts number of iterations at current temperature\n",
    "        j = 0     \n",
    "        # Counts number of improvements at current iteration\n",
    "        improvements = 0   \n",
    "        # Count number of random steps at current iteration\n",
    "        random_steps = 0    \n",
    "        while (j < iter_per_temperature):\n",
    "            solutions_checked += 1\n",
    "            # creates a list of all neighbours in the neighbourhood of packing_current\n",
    "            Neighbourhood = One_Flip_Neighbourhood(packing_current)\n",
    "            # Selects random neighbour\n",
    "            s = Neighbourhood[random.randint(0, len(Neighbourhood)-1)]   \n",
    "            if (evaluate(s)[0] > e_current[0]):\n",
    "                packing_current = s[:]\n",
    "                e_current = evaluate(s)[:]\n",
    "                improvements += 1\n",
    "            else:\n",
    "                delta = evaluate(packing_current)[0] - evaluate(s)[0]\n",
    "                probability = random.uniform(0,1)\n",
    "                randomness = math.exp(-1 * delta * (k+1) / (initial_temperature))\n",
    "                if (probability < randomness):\n",
    "                    packing_current = s[:]\n",
    "                    e_current = evaluate(s)[:]\n",
    "                    random_steps += 1\n",
    "             # Records the best value found so far\n",
    "            if(e_current[0] > e_best[0]):   \n",
    "                packing_best = packing_current[:]\n",
    "                e_best = e_current[:]\n",
    "            j += 1\n",
    "        # increase the total improvements\n",
    "        total_improvements += improvements   \n",
    "        # increase the total random steps\n",
    "        total_random_steps += random_steps         \n",
    "        k += 1\n",
    "    print(\"Total number of random steps:\", total_random_steps,\"\\n\",\n",
    "          \"Total number of improvements:\", total_improvements)\n",
    "    print(\"Number of packings checked:\", solutions_checked)\n",
    "    p = np.array(packing_best)\n",
    "    v = e_best[0]\n",
    "    w = e_best[1]\n",
    "    return p, v, w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "acting-chicago",
   "metadata": {},
   "outputs": [],
   "source": [
    "def Tabu_Search(initial_proportion_items, tabu_tenure, max_super_best_steps):   \n",
    "    '''\n",
    "    Implementation of the Tabu Search with one-flip neighbourhood\n",
    "    \n",
    "    Returns p: best packing, \n",
    "            v: total value of the items of the best packing, \n",
    "            w: total weight of the items of the best packing\n",
    "\n",
    "            Parameters:\n",
    "                   initial_proportion_items (float): proportion of items in initial solution\n",
    "                   tabu_tenure (int): tabu tenure, i.e. a certain amount of time (or iterations) that the items are taboo\n",
    "                   max_super_best_steps (int): maximum number of best steps, \n",
    "                   If the highest objective value found does not change for max_super_best_steps,\n",
    "                   Tabu Search stops.\n",
    "            Returns:\n",
    "                    p (numpy array): numpy array of 1/0 to indicate the best packing\n",
    "                    v (float): total value of the items of the best packing\n",
    "                    w (float): total weight of the items of the best packing\n",
    "    '''\n",
    "    print(\"Tabu Search\")\n",
    "    print(\"Initial Proportion of items = \", initial_proportion_items)\n",
    "    print(\"Tabu tenure = \", tabu_tenure)\n",
    "    print(\"Maximum super best steps = \", max_super_best_steps)\n",
    "    # initialises no. of solutions checked\n",
    "    solutions_checked = 0\n",
    "    # packing_current holds the currentent solution\n",
    "    packing_current = Initial_solution(initial_proportion_items)  \n",
    "    # packing_best holds the best solution\n",
    "    packing_best = packing_current[:]  \n",
    "    # e_current holds the evaluation of the currentent soluton\n",
    "    e_current = evaluate(packing_current)  \n",
    "    # e_best holds the best solution in neighbourhood\n",
    "    e_best = e_current[:] \n",
    "    # e_super_best holds the best solution so far\n",
    "    e_super_best = e_current[:] \n",
    "    #  tabu_list holds the tabu status of each element in solution\n",
    "    tabu_list = [0] * n_items   \n",
    "    # counts the number of non-improving steps\n",
    "    count = 0                     \n",
    "    while (count < max_super_best_steps):\n",
    "        # creates a list of all neighbours in the Neighbourhood of packing_current\n",
    "        Neighbourhood = One_Flip_Neighbourhood(packing_current) \n",
    "        # initialises the number of element changed in current step\n",
    "        neighbour = 0   \n",
    "        # resets the best neighbour value to be zero\n",
    "        e_best[0] = 0    \n",
    "        # evaluates every member in the neighbourhood of packing_current\n",
    "        for s in Neighbourhood:  \n",
    "            solutions_checked += 1\n",
    "            if (evaluate(s)[0] > e_best[0]) and (tabu_list[neighbour]==0):  \n",
    "                # finds the best member and keep track of that solution\n",
    "                packing_current = s[:]\n",
    "                # e_best holds the best solution in neighbourhood\n",
    "                e_best = evaluate(s)[:]  \n",
    "                # neighbour selected at the current step\n",
    "                neighbour_selected = neighbour   \n",
    "            # updates the best solution found so far\n",
    "            if (evaluate(s)[0] > e_super_best[0]):    \n",
    "                packing_current = s[:]\n",
    "                e_best = evaluate(s)[:]\n",
    "                e_super_best = evaluate(s)[:]\n",
    "                packing_super = s[:]\n",
    "                neighbour_selected = neighbour\n",
    "                change = 1\n",
    "            neighbour += 1\n",
    "        # counts the number of steps with the improvement\n",
    "        count += 1   \n",
    "        # Records the change status\n",
    "        if(change == 1):            \n",
    "            count = 0\n",
    "            change = 0\n",
    "        # Updates the tabu status of each item\n",
    "        for i in range(0,len(tabu_list)-1):   \n",
    "            tt = tabu_list[i]\n",
    "            if(tt > 0):\n",
    "                tabu_list[i] = tt - 1\n",
    "        # updates the tabu status of selected items\n",
    "        tabu_list[neighbour_selected] = tabu_tenure   \n",
    "        print(\"Neighbour selected:\", neighbour_selected, \", Best_value:\", e_best[0])\n",
    "        print(\"Highest total value found:\", e_super_best[0])\n",
    "        print(\"\\n\")\n",
    "    print(\"Number of packings checked:\", solutions_checked)\n",
    "    p = np.array(packing_super)\n",
    "    v = e_super_best[0]\n",
    "    w = e_super_best[1]\n",
    "    return p, v, w  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "compliant-empire",
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_SA(number_runs, initial_proportion_items, \n",
    "           initial_temperature, iter_per_temperature,  final_temperature):\n",
    "    '''\n",
    "    Function to run Simulated Annealing with a specified number of runs\n",
    "    \n",
    "    Returns v_array: a list to store total value of the items of the best packing in number_runs times of run\n",
    "            w_array: a list to store total weight of the items of the best packing in number_runs times of run\n",
    "\n",
    "            Parameters:\n",
    "                   number_runs (int): number of times to run Tabu Search\n",
    "                   initial_proportion_items (float): proportion of items in initial solution\n",
    "                   initial_temperature (float): initial temperature\n",
    "                   iter_per_temperature (int): number of iterations per temperature\n",
    "                   final_temperature (float): final temperature\n",
    "            Returns:\n",
    "                    v_array (list): a list to store total value of the items of the best packing in number_runs times of run\n",
    "                    w_array (list): a list to store total weight of the items of the best packing in number_runs times of run\n",
    "    '''\n",
    "    v_array = []\n",
    "    w_array = []\n",
    "    for i in range(number_runs):\n",
    "        print('Number of runs of the algorithm =',i+1)\n",
    "        print(\"\\nStarting solve() \")\n",
    "        packing, v, w = Simulated_Annealing(initial_proportion_items,\n",
    "                                initial_temperature, iter_per_temperature, \n",
    "                                final_temperature)\n",
    "        print(\"\\nBest packing found: \")\n",
    "        print(packing)\n",
    "        print(\"\\nTotal value of packing = %0.1f \" % v)\n",
    "        print(\"Total weight of packing = %0.1f \" % w)\n",
    "        v_array.append(v)\n",
    "        w_array.append(w)\n",
    "        print(\"#############################################################################################\")\n",
    "    print(\"\\nEnd\")\n",
    "    return v_array, w_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "absent-comparative",
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_TS(number_runs, initial_proportion_items, \n",
    "           tabu_tenure, max_super_best_steps):\n",
    "    '''\n",
    "    Function to run Tabu Search with a specified number of runs\n",
    "    \n",
    "    Returns v_array: a list to store total value of the items of the best packing in number_runs times of run\n",
    "            w_array: a list to store total weight of the items of the best packing in number_runs times of run\n",
    "\n",
    "            Parameters:\n",
    "                   number_runs (int): number of times to run Tabu Search\n",
    "                   initial_proportion_items (float): proportion of items in initial solution\n",
    "                   tabu_tenure (int): tabu tenure, i.e. a certain amount of time (or iterations) that the items are taboo\n",
    "                   max_super_best_steps (int): maximum number of best steps, \n",
    "                   If the highest objective value found does not change for max_super_best_steps,\n",
    "                   Tabu Search stops.\n",
    "            Returns:\n",
    "                    v_array (list): a list to store total value of the items of the best packing in number_runs times of run\n",
    "                    w_array (list): a list to store total weight of the items of the best packing in number_runs times of run\n",
    "    '''\n",
    "    v_array = []\n",
    "    w_array = []\n",
    "    for i in range(number_runs):\n",
    "        print('Number of runs of the algorithm =',i+1)\n",
    "        print(\"\\nStarting solve() \")\n",
    "        packing, v, w = Tabu_Search(initial_proportion_items, \n",
    "                           tabu_tenure, max_super_best_steps)\n",
    "        print(\"\\nBest packing found: \")\n",
    "        print(packing)\n",
    "        print(\"\\nTotal value of packing = %0.1f \" % v)\n",
    "        print(\"Total weight of packing = %0.1f \" % w)\n",
    "        v_array.append(v)\n",
    "        w_array.append(w)\n",
    "        print(\"#############################################################################################\")\n",
    "    print(\"\\nEnd\")\n",
    "    return v_array, w_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "assured-bronze",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_value_weight(v_array, w_array, name_algo, number_runs):    \n",
    "    '''\n",
    "    Function to plot the total value of the items of the best packing in  each time of running the algorithm,\n",
    "    and print average total value and weight in number_runs times of run\n",
    "\n",
    "            Parameters:\n",
    "                    v_array (list): a list to store total value of the items of the best packing in number_runs times of run\n",
    "                    w_array (list): a list to store total weight of the items of the best packing in number_runs times of run\n",
    "                    name_algo (str): the name of the algorithm, i.e either \"Simulated Annealing\" or \"Tabu Search\"\n",
    "                    number_runs (int): number of times to run the algorithm\n",
    "    '''\n",
    "    # create figure and axis objects with subplots()\n",
    "    fig,ax = plt.subplots(figsize=(10,8))\n",
    "    # make a plot\n",
    "    ax.plot(range(1,11),v_array, color=\"red\", marker=\"o\")\n",
    "    ax.set_xlabel('Number of runs of the ' + str(name_algo),fontsize=15)\n",
    "    ax.set_ylabel('Final total value of packing',color=\"red\",fontsize=15)\n",
    "    # twin object for two different y-axis on the sample plot\n",
    "    ax2=ax.twinx()\n",
    "    # make a plot with different y-axis using second axis object\n",
    "    ax2.plot(range(1,11),w_array,color=\"blue\",marker=\"x\")\n",
    "    ax2.set_ylabel('Final total weight of packing',color=\"blue\",fontsize=15)\n",
    "    plt.xticks(np.arange(1, 11, 1.0))\n",
    "    plt.title(\"Final total value and weight of packing in \" + str(number_runs)+ \" runs\",fontsize=18)\n",
    "    plt.show()\n",
    "    avg_v_total = np.mean(v_array)\n",
    "    avg_w_total = np.mean(w_array)\n",
    "    print(\"\\nAverage total value of packing in \"+ str(number_runs) +\" runs = %0.1f \" % avg_v_total)\n",
    "    print(\"\\nAverage total weight of packing in \"+ str(number_runs) +\" runs = %0.1f \" % avg_w_total)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "classified-drove",
   "metadata": {},
   "source": [
    "<a name='run'></a>\n",
    "# 5 Run the Simulated Annealing algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "valuable-chest",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of runs of the algorithm = 1\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Total number of random steps: 4992 \n",
      " Total number of improvements: 5049\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 0 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 1 0 0 0 1 1 0 1 0 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 1 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 1 1 1 0 1 1 1 1 1\n",
      " 1 1 1 0 1 0 0 1 1 0 1 0 1 0 1 1 1 1 1 1 0 1 0 1 0 1]\n",
      "\n",
      "Total value of packing = 4420.0 \n",
      "Total weight of packing = 1498.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 2\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Total number of random steps: 5313 \n",
      " Total number of improvements: 5371\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 0 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 0 1 1 1 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1\n",
      " 1 1 1 0 1 0 0 1 1 0 1 0 1 0 1 1 1 1 1 1 0 1 0 1 0 1]\n",
      "\n",
      "Total value of packing = 4434.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 3\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Total number of random steps: 5246 \n",
      " Total number of improvements: 5305\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 0\n",
      " 1 0 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 0 1 1 0 0 0 1 0 1 1 1 1 0 1 1 1 1 1\n",
      " 0 1 1 0 1 0 0 1 1 1 1 0 1 0 1 1 1 1 1 1 0 1 0 1 0 1]\n",
      "\n",
      "Total value of packing = 4414.0 \n",
      "Total weight of packing = 1498.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 4\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Total number of random steps: 5168 \n",
      " Total number of improvements: 5223\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 0 0 0 1 0 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 0 1 1 0 0 0 1 1 0 1 1 1 1 1\n",
      " 1 1 1 0 0 0 0 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 0 1]\n",
      "\n",
      "Total value of packing = 4426.0 \n",
      "Total weight of packing = 1498.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 5\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Total number of random steps: 5211 \n",
      " Total number of improvements: 5266\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 1 1 0 1 1 0 0 1 1 0 1 1 1 1 0 1 1 1 1 1\n",
      " 1 1 1 0 1 0 0 1 1 0 1 0 1 0 1 1 0 1 1 1 0 1 0 1 0 1]\n",
      "\n",
      "Total value of packing = 4438.0 \n",
      "Total weight of packing = 1498.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 6\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Total number of random steps: 5242 \n",
      " Total number of improvements: 5300\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 0 1 1 1 1 1 0 1\n",
      " 1 0 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 0 1 1 0 0 1 1 0 1 0 1 1 0 1 1 1 0 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 0 1 1 1 1 1 0 1 0 1 0 1]\n",
      "\n",
      "Total value of packing = 4429.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 7\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Total number of random steps: 5227 \n",
      " Total number of improvements: 5285\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 0 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 0 1 0 1 1 1 0 1\n",
      " 1 0 1 0 1 0 1 1 1 0 1 0 1 1 0 1 1 1 1 0 1 1 0 0 1 1 0 1 1 1 1 0 1 1 1 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 0 1 1 1 1 1 1 0 1 0 1 0 1]\n",
      "\n",
      "Total value of packing = 4394.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 8\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Total number of random steps: 5144 \n",
      " Total number of improvements: 5198\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 0 1 1 0 0 0 0 1 1 1 1 1 0 1 0 0 1 1 1 1 1 1 0 0 0 1 1 0 1 0 0 1 1 0 0\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1\n",
      " 1 1 1 0 0 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 1]\n",
      "\n",
      "Total value of packing = 4385.0 \n",
      "Total weight of packing = 1499.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 9\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Total number of random steps: 5131 \n",
      " Total number of improvements: 5187\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 1 0 0 1 1 1 1 1 1 0 0 0 1 1 0 1 0 1 1 1 0 1\n",
      " 1 0 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 0 0 1 0 1 1 1 1 0 1 1 1 0 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 0 0 0 1]\n",
      "\n",
      "Total value of packing = 4416.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 10\n",
      "\n",
      "Starting solve() \n",
      "Simulated Annealing\n",
      "Initial Proportion of items =  0.1\n",
      "Initial temperature =  8000\n",
      "Final temperature =  5\n",
      "Number of Iterations per temperature =  50\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of random steps: 5243 \n",
      " Total number of improvements: 5301\n",
      "Number of packings checked: 79950\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 0 1 0 1 1 1 0 0\n",
      " 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 0 0 1 1 0 0 1 1 0 1 1 1 1 0 1 1 1 1 1\n",
      " 1 1 1 0 0 0 0 1 1 0 1 0 1 1 1 1 1 1 1 1 0 1 0 1 0 1]\n",
      "\n",
      "Total value of packing = 4380.0 \n",
      "Total weight of packing = 1487.0 \n",
      "#############################################################################################\n",
      "\n",
      "End\n"
     ]
    }
   ],
   "source": [
    "number_runs = 10               \n",
    "initial_proportion_items = 0.1\n",
    "initial_temperature = 8000\n",
    "iter_per_temperature = 50\n",
    "final_temperature = 5\n",
    "name_algo = \"Simulated Annealing\"\n",
    "v_array, w_array = run_SA(number_runs, initial_proportion_items, \n",
    "           initial_temperature, iter_per_temperature,  final_temperature)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "informational-scholar",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Average total value of packing in 10 runs = 4413.6 \n",
      "\n",
      "Average total weight of packing in 10 runs = 1497.8 \n"
     ]
    }
   ],
   "source": [
    "plot_value_weight(v_array, w_array, name_algo, number_runs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "static-radio",
   "metadata": {},
   "source": [
    "<a name='run_tabu'></a>\n",
    "# 6 Run the Tabu Search algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "innovative-passage",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of runs of the algorithm = 1\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n",
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n",
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n",
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 2\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n",
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n",
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n",
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 3\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n",
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n",
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n",
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 4\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n",
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n",
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n",
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 5\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n",
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n",
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 6\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n",
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n",
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 7\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n",
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n",
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n",
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 8\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n",
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n",
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n",
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 9\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n",
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n",
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n",
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "Number of runs of the algorithm = 10\n",
      "\n",
      "Starting solve() \n",
      "Tabu Search\n",
      "Initial Proportion of items =  0.1\n",
      "Tabu tenure =  30\n",
      "Maximum super best steps =  100\n",
      "Random Initial Solution of proportion:  0.1\n",
      "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0\n",
      " 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0\n",
      " 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0]\n",
      "Neighbour selected: 3 , Best_value: 544\n",
      "Highest total value found: 544\n",
      "\n",
      "\n",
      "Neighbour selected: 1 , Best_value: 643\n",
      "Highest total value found: 643\n",
      "\n",
      "\n",
      "Neighbour selected: 50 , Best_value: 742\n",
      "Highest total value found: 742\n",
      "\n",
      "\n",
      "Neighbour selected: 55 , Best_value: 841\n",
      "Highest total value found: 841\n",
      "\n",
      "\n",
      "Neighbour selected: 34 , Best_value: 939\n",
      "Highest total value found: 939\n",
      "\n",
      "\n",
      "Neighbour selected: 0 , Best_value: 1035\n",
      "Highest total value found: 1035\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 33 , Best_value: 1131\n",
      "Highest total value found: 1131\n",
      "\n",
      "\n",
      "Neighbour selected: 73 , Best_value: 1225\n",
      "Highest total value found: 1225\n",
      "\n",
      "\n",
      "Neighbour selected: 84 , Best_value: 1318\n",
      "Highest total value found: 1318\n",
      "\n",
      "\n",
      "Neighbour selected: 95 , Best_value: 1411\n",
      "Highest total value found: 1411\n",
      "\n",
      "\n",
      "Neighbour selected: 81 , Best_value: 1503\n",
      "Highest total value found: 1503\n",
      "\n",
      "\n",
      "Neighbour selected: 88 , Best_value: 1595\n",
      "Highest total value found: 1595\n",
      "\n",
      "\n",
      "Neighbour selected: 44 , Best_value: 1686\n",
      "Highest total value found: 1686\n",
      "\n",
      "\n",
      "Neighbour selected: 69 , Best_value: 1777\n",
      "Highest total value found: 1777\n",
      "\n",
      "\n",
      "Neighbour selected: 82 , Best_value: 1866\n",
      "Highest total value found: 1866\n",
      "\n",
      "\n",
      "Neighbour selected: 37 , Best_value: 1953\n",
      "Highest total value found: 1953\n",
      "\n",
      "\n",
      "Neighbour selected: 51 , Best_value: 2038\n",
      "Highest total value found: 2038\n",
      "\n",
      "\n",
      "Neighbour selected: 8 , Best_value: 2122\n",
      "Highest total value found: 2122\n",
      "\n",
      "\n",
      "Neighbour selected: 39 , Best_value: 2206\n",
      "Highest total value found: 2206\n",
      "\n",
      "\n",
      "Neighbour selected: 11 , Best_value: 2289\n",
      "Highest total value found: 2289\n",
      "\n",
      "\n",
      "Neighbour selected: 58 , Best_value: 2371\n",
      "Highest total value found: 2371\n",
      "\n",
      "\n",
      "Neighbour selected: 92 , Best_value: 2453\n",
      "Highest total value found: 2453\n",
      "\n",
      "\n",
      "Neighbour selected: 61 , Best_value: 2534\n",
      "Highest total value found: 2534\n",
      "\n",
      "\n",
      "Neighbour selected: 83 , Best_value: 2614\n",
      "Highest total value found: 2614\n",
      "\n",
      "\n",
      "Neighbour selected: 74 , Best_value: 2693\n",
      "Highest total value found: 2693\n",
      "\n",
      "\n",
      "Neighbour selected: 62 , Best_value: 2767\n",
      "Highest total value found: 2767\n",
      "\n",
      "\n",
      "Neighbour selected: 9 , Best_value: 2840\n",
      "Highest total value found: 2840\n",
      "\n",
      "\n",
      "Neighbour selected: 18 , Best_value: 2909\n",
      "Highest total value found: 2909\n",
      "\n",
      "\n",
      "Neighbour selected: 45 , Best_value: 2978\n",
      "Highest total value found: 2978\n",
      "\n",
      "\n",
      "Neighbour selected: 53 , Best_value: 3047\n",
      "Highest total value found: 3047\n",
      "\n",
      "\n",
      "Neighbour selected: 75 , Best_value: 3116\n",
      "Highest total value found: 3116\n",
      "\n",
      "\n",
      "Neighbour selected: 30 , Best_value: 3183\n",
      "Highest total value found: 3183\n",
      "\n",
      "\n",
      "Neighbour selected: 89 , Best_value: 3250\n",
      "Highest total value found: 3250\n",
      "\n",
      "\n",
      "Neighbour selected: 47 , Best_value: 3314\n",
      "Highest total value found: 3314\n",
      "\n",
      "\n",
      "Neighbour selected: 22 , Best_value: 3377\n",
      "Highest total value found: 3377\n",
      "\n",
      "\n",
      "Neighbour selected: 41 , Best_value: 3440\n",
      "Highest total value found: 3440\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3501\n",
      "Highest total value found: 3501\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 3562\n",
      "Highest total value found: 3562\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 3621\n",
      "Highest total value found: 3621\n",
      "\n",
      "\n",
      "Neighbour selected: 67 , Best_value: 3680\n",
      "Highest total value found: 3680\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 3738\n",
      "Highest total value found: 3738\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 3795\n",
      "Highest total value found: 3795\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 3852\n",
      "Highest total value found: 3852\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 3908\n",
      "Highest total value found: 3908\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 3964\n",
      "Highest total value found: 3964\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4018\n",
      "Highest total value found: 4018\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4071\n",
      "Highest total value found: 4071\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4124\n",
      "Highest total value found: 4124\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4176\n",
      "Highest total value found: 4176\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4228\n",
      "Highest total value found: 4228\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4230\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 96 , Best_value: 4224\n",
      "Highest total value found: 4230\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4273\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4261\n",
      "Highest total value found: 4273\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4303\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 68 , Best_value: 4288\n",
      "Highest total value found: 4303\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4340\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4302\n",
      "Highest total value found: 4340\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4352\n",
      "Highest total value found: 4352\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4378\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4337\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4290\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4312\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4329\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4266\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4314\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4353\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 4292\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4231\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4172\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 99 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4153\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4197\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4212\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4156\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4194\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4203\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4150\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4097\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4133\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4081\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4079\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4027\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 3978\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4014\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4026\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 3984\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 3933\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 3962\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 3936\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 3977\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4024\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4002\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 3985\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 3935\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 3973\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 3934\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 19 , Best_value: 3995\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 93 , Best_value: 4056\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 15 , Best_value: 4115\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4067\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4092\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4048\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 49 , Best_value: 4106\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4091\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4053\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4078\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4069\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4122\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 54 , Best_value: 4086\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4142\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 60 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4141\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4193\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4245\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4247\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4289\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 26 , Best_value: 4288\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4297\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4285\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4311\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 52 , Best_value: 4282\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4331\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 65 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4317\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4334\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4296\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 2 , Best_value: 4348\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 21 , Best_value: 4307\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 76 , Best_value: 4260\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 90 , Best_value: 4299\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 23 , Best_value: 4243\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 38 , Best_value: 4218\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 36 , Best_value: 4268\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 72 , Best_value: 4211\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 66 , Best_value: 4259\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 16 , Best_value: 4274\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 48 , Best_value: 4249\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 4 , Best_value: 4295\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 10 , Best_value: 4242\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 78 , Best_value: 4185\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 64 , Best_value: 4229\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 13 , Best_value: 4173\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 87 , Best_value: 4236\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 12 , Best_value: 4184\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 86 , Best_value: 4132\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 31 , Best_value: 4130\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 27 , Best_value: 4088\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 43 , Best_value: 4126\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 56 , Best_value: 4117\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 32 , Best_value: 4129\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 57 , Best_value: 4103\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 94 , Best_value: 4112\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 28 , Best_value: 4063\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Neighbour selected: 54 , Best_value: 4099\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 20 , Best_value: 4077\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 71 , Best_value: 4060\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 97 , Best_value: 4007\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Neighbour selected: 46 , Best_value: 4045\n",
      "Highest total value found: 4378\n",
      "\n",
      "\n",
      "Number of packings checked: 16000\n",
      "\n",
      "Best packing found: \n",
      "[1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 0 1\n",
      " 1 0 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1\n",
      " 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 0]\n",
      "\n",
      "Total value of packing = 4378.0 \n",
      "Total weight of packing = 1500.0 \n",
      "#############################################################################################\n",
      "\n",
      "End\n"
     ]
    }
   ],
   "source": [
    "number_runs = 10               \n",
    "initial_proportion_items = 0.1\n",
    "tabu_tenure = 30\n",
    "max_super_best_steps = 100\n",
    "name_algo = \"Tabu Search\"\n",
    "v_array, w_array = run_TS(number_runs, initial_proportion_items, \n",
    "           tabu_tenure, max_super_best_steps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "micro-height",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Average total value of packing in 10 runs = 4378.0 \n",
      "\n",
      "Average total weight of packing in 10 runs = 1500.0 \n"
     ]
    }
   ],
   "source": [
    "plot_value_weight(v_array, w_array, name_algo, number_runs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "compact-northwest",
   "metadata": {},
   "source": [
    "# End"
   ]
  }
 ],
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