PyGAD 3.4.0 #312
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PyGAD 3.4.0 #312
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1. The `delay_after_gen` parameter is removed from the `pygad.GA` class constructor. As a result, it is no longer an attribute of the `pygad.GA` class instances. To add a delay after each generation, apply it inside the `on_generation` callback. #283 2. In the `single_point_crossover()` method of the `pygad.utils.crossover.Crossover` class, all the random crossover points are returned before the `for` loop. This is by calling the `numpy.random.randint()` function only once before the loop to generate all the K points (where K is the offspring size). This is compared to calling the `numpy.random.randint()` function inside the `for` loop K times, once for each individual offspring. 3. Bug fix in the `examples/example_custom_operators.py` script. #285 4. While making prediction using the `pygad.torchga.predict()` function, no gradients are calculated. 5. The `gene_type` parameter of the `pygad.helper.unique.Unique.unique_int_gene_from_range()` method accepts the type of the current gene only instead of the full gene_type list. 6. Created a new method called `unique_float_gene_from_range()` inside the `pygad.helper.unique.Unique` class to find a unique floating-point number from a range. 7. Fix a bug in the `pygad.helper.unique.Unique.unique_gene_by_space()` method to return the numeric value only instead of a NumPy array. 8. Refactoring the `pygad/helper/unique.py` script to remove duplicate codes and reformatting the docstrings. 9. The plot_pareto_front_curve() method added to the pygad.visualize.plot.Plot class to visualize the Pareto front for multi-objective problems. It only supports 2 objectives. #279 10. Fix a bug converting a nested NumPy array to a nested list. #300 11. The `Matplotlib` library is only imported when a method inside the `pygad/visualize/plot.py` script is used. This is more efficient than using `import matplotlib.pyplot` at the module level as this causes it to be imported when `pygad` is imported even when it is not needed. #292 12. Fix a bug when minus sign (-) is used inside the `stop_criteria` parameter (e.g. `stop_criteria=["saturate_10", "reach_-0.5"]`). #296 13. Make sure `self.best_solutions` is a list of lists inside the `cal_pop_fitness` method. #293 14. Fix a bug where the `cal_pop_fitness()` method was using the `previous_generation_fitness` attribute to return the parents fitness. This instance attribute was not using the fitness of the latest population, instead the fitness of the population before the last one. The issue is solved by updating the `previous_generation_fitness` attribute to the latest population fitness before the GA completes. #291
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delay_after_genparameter is removed from thepygad.GAclass constructor. As a result, it is no longer an attribute of thepygad.GAclass instances. To add a delay after each generation, apply it inside theon_generationcallback. delay_after_gen warning #283single_point_crossover()method of thepygad.utils.crossover.Crossoverclass, all the random crossover points are returned before theforloop. This is by calling thenumpy.random.randint()function only once before the loop to generate all the K points (where K is the offspring size). This is compared to calling thenumpy.random.randint()function inside theforloop K times, once for each individual offspring.examples/example_custom_operators.pyscript. Fix a typo in example_custom_operators #285pygad.torchga.predict()function, no gradients are calculated.gene_typeparameter of thepygad.helper.unique.Unique.unique_int_gene_from_range()method accepts the type of the current gene only instead of the full gene_type list.unique_float_gene_from_range()inside thepygad.helper.unique.Uniqueclass to find a unique floating-point number from a range.pygad.helper.unique.Unique.unique_gene_by_space()method to return the numeric value only instead of a NumPy array.pygad/helper/unique.pyscript to remove duplicate codes and reformatting the docstrings.initial_populationnot effectively used/retained for multiobjective problems? #279Matplotliblibrary is only imported when a method inside thepygad/visualize/plot.pyscript is used. This is more efficient than usingimport matplotlib.pyplotat the module level as this causes it to be imported whenpygadis imported even when it is not needed. Matplotlib imported by pyGAD #292stop_criteriaparameter (e.g.stop_criteria=["saturate_10", "reach_-0.5"]). "reach" stop criteria with negative valued fitness function #296self.best_solutionsis a list of lists inside thecal_pop_fitnessmethod. 'numpy.ndarray' object has no attribute 'index' #293cal_pop_fitness()method was using theprevious_generation_fitnessattribute to return the parents fitness. This instance attribute was not using the fitness of the latest population, instead the fitness of the population before the last one. The issue is solved by updating theprevious_generation_fitnessattribute to the latest population fitness before the GA completes. ga_instance.best_solution() only returning best parameters and fitness of previous Generation #291