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PyGAD 2.16.0 Documentation
A user-defined function can be passed to the mutation_type, crossover_type, and parent_selection_type parameters in the pygad.GA class to create a custom mutation, crossover, and parent selection operators. Check the User-Defined Crossover, Mutation, and Parent Selection Operators section in the documentation: https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#user-defined-crossover-mutation-and-parent-selection-operators The example_custom_operators.py script gives an example of building and using custom functions for the 3 operators. ahmedfgad#50
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‎docs/source/Footer.rst

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1. Fix a bug when ``keep_parents`` is set to a positive integer.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/49
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.. _pygad-2152:
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PyGAD 2.15.2
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------------
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Release Date: 18 June 2021
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1. Fix a bug when using the ``kerasga`` or ``torchga`` modules.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/51
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.. _pygad-2160:
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PyGAD 2.16.0
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------------
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Release Date: 19 June 2021
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1. A user-defined function can be passed to the ``mutation_type``,
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``crossover_type``, and ``parent_selection_type`` parameters in the
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``pygad.GA`` class to create a custom mutation, crossover, and parent
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selection operators. Check the `User-Defined Crossover, Mutation, and
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Parent Selection
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Operators <https://pygad.readthedocs.io/en/latest/README_pygad_ReadTheDocs.html#user-defined-crossover-mutation-and-parent-selection-operators>`__
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section for more details.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/discussions/50
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PyGAD Projects at GitHub
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========================
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|image8|
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Papers using PyGAD
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==================
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Research Papers using PyGAD
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===========================
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A number of research papers used PyGAD and here are some of them:
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- Jaros, Marta, and Jiri Jaros. "Performance-Cost Optimization of
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Moldable Scientific Workflows."
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- Koch, Chris, and Edgar Dobriban. "AttenGen: Generating Live
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Attenuated Vaccine Candidates using Machine Learning." (2021).
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- Thorat, Divya. *Enhanced genetic algorithm to reduce makespan of
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multiple jobs in map-reduce application on serverless platform*.
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Diss. Dublin, National College of Ireland, 2020.
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- Koch, Chris, and Edgar Dobriban. "AttenGen: Generating Live
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Attenuated Vaccine Candidates using Machine Learning." (2021).
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- Bhardwaj, Bhavya, et al. "Windfarm optimization using Nelder-Mead and
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Particle Swarm optimization." *2021 7th International Conference on
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Electrical Energy Systems (ICEES)*. IEEE, 2021.
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Counterfactual Explanation for Causal Classification." *arXiv
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preprint arXiv:2105.00703* (2021).
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- Farrag, Tamer Ahmed, and Ehab E. Elattar. "Optimized Deep Stacked
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Long Short-Term Memory Network for Long-Term Load Forecasting." *IEEE
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Access* 9 (2021): 68511-68522.
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For More Information
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====================
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