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PyGAD-2.9.0
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@ahmedfgad ahmedfgad released this 05 Dec 23:30
· 408 commits to master since this release
2.9.0
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Learn about vigilant mode.

Changes in PyGAD 2.9.0 (06 December 2020):

  1. The fitness values of the initial population are considered in the best_solutions_fitness attribute.
  2. An optional parameter named save_best_solutions is added. It defaults to False. When it is True, then the best solution after each generation is saved into an attribute named best_solutions. If False, then no solutions are saved and the best_solutions attribute will be empty.
  3. Scattered crossover is supported. To use it, assign the crossover_type parameter the value "scattered".
  4. NumPy arrays are now supported by the gene_space parameter.
  5. The following parameters (gene_type, crossover_probability, mutation_probability, delay_after_gen) can be assigned to a numeric value of any of these data types: int, float, numpy.int, numpy.int8, numpy.int16, numpy.int32, numpy.int64, numpy.float, numpy.float16, numpy.float32, or numpy.float64.
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