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Commitde8d5be

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Merge branch 'github-actions' ofhttps://github.com/ahmedfgad/GeneticAlgorithmPython into github-actions
2 parentsfc842aa +ee434cb commitde8d5be

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‎docs/source/pygad.rst

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@@ -1037,10 +1037,11 @@ Let's discuss how to do each of these steps.
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Preparing the ``fitness_func`` Parameter
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-----------------------------------------
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Even though some steps in the genetic algorithm pipeline can work the
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same regardless of the problem being solved, one critical step is the
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calculation of the fitness value. There is no unique way of calculating
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the fitness value and it changes from one problem to another.
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Even though some steps in the genetic algorithm pipeline can
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work the same regardless of the problem being solved, one critical step
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is the calculation of the fitness value. There is no unique way of
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calculating the fitness value and it changes from one problem to
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another.
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PyGAD has a parameter called ``fitness_func`` that allows the user to
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specify a custom function/method to use when calculating the fitness.

‎docs/source/pygad_more.rst

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@@ -632,7 +632,6 @@ After running the code again, it will find the same result.
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0.04872203136549972
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Continue without Losing Progress
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================================
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In `PyGAD
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2.18.0 <https://pygad.readthedocs.io/en/latest/releases.html#pygad-2-18-0>`__,

‎pygad/pygad.py

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@@ -726,7 +726,7 @@ def __init__(self,
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ifself.mutation_probabilityisNone:
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ifnotself.suppress_warnings:
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warnings.warn(
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f"The percentage of genes to mutate (mutation_percent_genes={mutation_percent_genes})resutled in selecting ({mutation_num_genes}) genes. The number of genes to mutate is set to 1 (mutation_num_genes=1).\nIf you do not want to mutate any gene, please set mutation_type=None.")
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f"The percentage of genes to mutate (mutation_percent_genes={mutation_percent_genes})resulted in selecting ({mutation_num_genes}) genes. The number of genes to mutate is set to 1 (mutation_num_genes=1).\nIf you do not want to mutate any gene, please set mutation_type=None.")
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mutation_num_genes=1
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eliftype(mutation_percent_genes)inGA.supported_int_float_types:
@@ -745,7 +745,7 @@ def __init__(self,
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ifmutation_num_genes==0:
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ifself.mutation_probabilityisNone:
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ifnotself.suppress_warnings:
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warnings.warn(f"The percentage of genes to mutate (mutation_percent_genes={mutation_percent_genes})resutled in selecting ({mutation_num_genes}) genes. The number of genes to mutate is set to 1 (mutation_num_genes=1).\nIf you do not want to mutate any gene, please set mutation_type=None.")
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warnings.warn(f"The percentage of genes to mutate (mutation_percent_genes={mutation_percent_genes})resulted in selecting ({mutation_num_genes}) genes. The number of genes to mutate is set to 1 (mutation_num_genes=1).\nIf you do not want to mutate any gene, please set mutation_type=None.")
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mutation_num_genes=1
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else:
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self.valid_parameters=False
@@ -771,7 +771,7 @@ def __init__(self,
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# Based on the mutation percentage of genes, if the number of selected genes for mutation is less than the least possible value which is 1, then the number will be set to 1.
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ifmutation_num_genes[idx]==0:
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ifnotself.suppress_warnings:
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warnings.warn(f"The percentage of genes to mutate ({mutation_percent_genes[idx]})resutled in selecting ({mutation_num_genes[idx]}) genes. The number of genes to mutate is set to 1 (mutation_num_genes=1).\nIf you do not want to mutate any gene, please set mutation_type=None.")
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warnings.warn(f"The percentage of genes to mutate ({mutation_percent_genes[idx]})resulted in selecting ({mutation_num_genes[idx]}) genes. The number of genes to mutate is set to 1 (mutation_num_genes=1).\nIf you do not want to mutate any gene, please set mutation_type=None.")
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mutation_num_genes[idx]=1
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ifmutation_percent_genes[0]<mutation_percent_genes[1]:
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ifnotself.suppress_warnings:

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