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Commit 8d6d713

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PyGAD 2.17.0 Documentation
## PyGAD 2.17.0 Release Date: 8 July 2022 1. An issue is solved when the `gene_space` parameter is given a fixed value. e.g. gene_space=[range(5), 4]. The second gene's value is static (4) which causes an exception. 2. Fixed the issue where the `allow_duplicate_genes` parameter did not work when mutation is disabled (i.e. `mutation_type=None`). This is by checking for duplicates after crossover directly. #39 3. Solve an issue in the `tournament_selection()` method as the indices of the selected parents were incorrect. #89 4. Reuse the fitness values of the previously explored solutions rather than recalculating them. This feature only works if `save_solutions=True`. 5. Parallel processing is supported. This is by the introduction of a new parameter named `parallel_processing` in the constructor of the `pygad.GA` class. Thanks to [@windowshopr](https://github.com/windowshopr) for opening the issue [#78](#78) at GitHub. Check the [Parallel Processing in PyGAD](https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#parallel-processing-in-pygad) section for more information and examples.
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‎docs/source/Footer.rst

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``solutions_fitness`` array.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/64
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1. There was an issue of getting the length of these 4 variables
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2. There was an issue of getting the length of these 4 variables
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(``solutions``, ``solutions_fitness``, ``best_solutions``, and
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``best_solutions_fitness``) doubled after each call of the ``run()``
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method. This is solved by resetting these variables at the beginning
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of the ``run()`` method.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/62
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2. Bug fixes when adaptive mutation is used
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3. Bug fixes when adaptive mutation is used
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(``mutation_type="adaptive"``).
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/65
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exception is raised if something is wrong.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/67
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.. _pygad-2170:
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PyGAD 2.17.0
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------------
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Release Date: 8 July 2022
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1. An issue is solved when the ``gene_space`` parameter is given a fixed
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value. e.g. gene_space=[range(5), 4]. The second gene's value is
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static (4) which causes an exception.
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2. Fixed the issue where the ``allow_duplicate_genes`` parameter did not
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work when mutation is disabled (i.e. ``mutation_type=None``). This is
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by checking for duplicates after crossover directly.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/39
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3. Solve an issue in the ``tournament_selection()`` method as the
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indices of the selected parents were incorrect.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/89
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4. Reuse the fitness values of the previously explored solutions rather
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than recalculating them. This feature only works if
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``save_solutions=True``.
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5. Parallel processing is supported. This is by the introduction of a
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new parameter named ``parallel_processing`` in the constructor of the
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``pygad.GA`` class. Thanks to
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`@windowshopr <https://github.com/windowshopr>`__ for opening the
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issue
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`#78 <https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/78>`__
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at GitHub. Check the `Parallel Processing in
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PyGAD <https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#parallel-processing-in-pygad>`__
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section for more information and examples.
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PyGAD Projects at GitHub
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========================
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`Multi-Input Multi-Output in Genetic algorithm (python) <https://stackoverflow.com/questions/64943711/multi-input-multi-output-in-genetic-algorithm-python>`__
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--------------------------------------------------------------------------------------------------------------------------------------------------------------
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https://www.linkedin.com/pulse/validation-short-term-parametric-trading-model-genetic-landolfi
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https://itchef.ru/articles/397758
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https://audhiaprilliant.medium.com/genetic-algorithm-based-clustering-algorithm-in-searching-robust-initial-centroids-for-k-means-e3b4d892a4be
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https://python.plainenglish.io/validation-of-a-short-term-parametric-trading-model-with-genetic-optimization-and-walk-forward-89708b789af6
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https://ichi.pro/ko/pygadwa-hamkke-yujeon-algolijeum-eul-sayonghayeo-keras-model-eul-hunlyeonsikineun-bangbeob-173299286377169
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https://ichi.pro/tr/pygad-ile-genetik-algoritmayi-kullanarak-keras-modelleri-nasil-egitilir-173299286377169
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https://ichi.pro/ru/kak-obucit-modeli-keras-s-pomos-u-geneticeskogo-algoritma-s-pygad-173299286377169
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https://blog.csdn.net/sinat_38079265/article/details/108449614
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Submitting Issues
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=================
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