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[PR] add args parameter for GA class #73

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[PR] add args parameter for GA class #73

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Related Issue

#71

Description

  • Previously, fitness_func takes only two arguments: solution and solution index. If extra parameters are required for the fitness_func, we are forced to use global parameters as shown in 'example.py', which is inconvenient.
  • Like scipy.optimize.differential_evolution, a new parameter, args, is added to GA class.
  • Tuple args is passed to fitness_func so it can use fixed parameters.
    => fitness_func(solution, solution_idx, args)

@ahmedfgad ahmedfgad added the enhancement New feature or request label Feb 25, 2023
@ahmedfgad ahmedfgad mentioned this pull request Apr 27, 2023
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@qelloman @ahmedfgad