training_config_5n_mo_acc.yaml

MEMS:
  L  : 1000e-6                           # Length
  b  : 30e-6                             # Width
  g0 : 10.1e-6                           # Initial gap
  d  : 2.4e-6                            # Thickness
  h  : 2.6e-6                            # Thickness
  E1 : 160e9                             # Young modulus
  nu : 0.22
  rho : 2330                             # Mass density
  c  : 0.05
  K  : 1                                 # Dielectric constant
  ythr : -3e-5
  taus: 1
  state_stopper : 0.95

Training:
  genom_struct_path : genom_struct_5n_mo.csv
  init_population_size : 5000
  population_size : 100
  mutation_rate : 0.28
  num_iteratitions : 100
  crossover_type : 1                     #GeneticAlgorithm.TWO_POINT_CROSSOVER
  fitness_goal : 0.97
  STEP_SIZE : 0.1
  MEM_STEP_SIZE : 1
  cuncurrency : 20
  log_enable : true
  saved_model_count: 20
  mid_neurons_count: 5
  population_np_path: models/population_5n_mo.npy
  reload_np_population_rate: 0.05
  agent_vel_x: 5
  obj_vel_y: -3
  stability_acc : 0.01
  stability_hist_bucket: 3
  stability_min_iteration: 8
  stability_max_iteration: 400
  use_dim_equation : False
  use_defelection_feedback: true
  is_type_acc: true