fitness_func performance issue about geneticalgorithmpython

[ahmedfgad]

Hi,

Thanks again for your feedback.

Looking for your future feedback as it really helps.

[ahmedfgad]

Hi,

Thanks for this note.

One location the cal_pop_fitness() was called another time in each generation is inside the best_solution() method. Now, the best_solution() method accepts a new optional argument called pop_fitness which accepts an array of the previously calculated fitness values. If this argument is left None, then the a new call to the cal_pop_fitness() method is done.

This change [alongside some additional features like training PyTorch models and supporting adaptive mutation] is reflected in the new release of PyGAD 2.10.0. Please check the documentation for more information: https://pygad.readthedocs.io

Please let me know if there are any other possible enhancements to be made.

Thanks.

[NH-VII]

Hi,
thank you for your kind reply and for the amazing work behind this module! I am going to update to 2.10.0 as soon as possible.
If I notice something else during my next GA projects, I will let you know.