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PyGAD 2.10.0
1. Support of adaptive mutation where the mutation rate is determined by the fitness value of each solution. Read the [Adaptive Mutation](https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#adaptive-mutation) section for more details. Also, read this paper: [Libelli, S. Marsili, and P. Alba. "Adaptive mutation in genetic algorithms." Soft computing 4.2 (2000): 76-80.](https://www.researchgate.net/publication/225642916_Adaptive_mutation_in_genetic_algorithms) 2. Before the `run()` method completes or exits, the fitness value of the best solution in the current population is appended to the `best_solution_fitness` list attribute. Note that the fitness value of the best solution in the initial population is already saved at the beginning of the list. So, the fitness value of the best solution is saved before the genetic algorithm starts and after it ends. 3. When the parameter `parent_selection_type` is set to `sss` (steady-state selection), then a warning message is printed if the value of the `keep_parents` parameter is set to 0. 4. More validations to the user input parameters. 5. The default value of the `mutation_percent_genes` is set to the string `"default"` rather than the integer 10. This change helps to know whether the user explicitly passed a value to the `mutation_percent_genes` parameter or it is left to its default one. The `"default"` value is later translated into the integer 10. 6. The `mutation_percent_genes` parameter is no longer accepting the value 0. It must be `>0` and `<=100`. 7. The built-in `warnings` module is used to show warning messages rather than just using the `print()` function. 8. A new `bool` parameter called `suppress_warnings` is added to the constructor of the `pygad.GA` class. It allows the user to control whether the warning messages are printed or not. It defaults to `False` which means the messages are printed. 9. A helper method called `adaptive_mutation_population_fitness()` is created to calculate the average fitness value used in adaptive mutation to filter the solutions.
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