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Commit 8734d98

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PyGAD 2.18.2
1 parent 4de9ae8 commit 8734d98

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7 files changed

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‎__init__.py

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from .pygad import * # Relative import.
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__version__ = "2.18.1"
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__version__ = "2.18.2"

‎docs/source/Footer.rst

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1. A big fix when ``keep_elitism`` is used.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/132
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.. _pygad-2182:
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PyGAD 2.18.2
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------------
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Release Date: 14 February 2023
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1. Remove ``numpy.int`` and ``numpy.float`` from the list of supported
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data types.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/151
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https://github.com/ahmedfgad/GeneticAlgorithmPython/pull/152
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2. Call the ``on_crossover()`` callback function even if
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``crossover_type`` is ``None``.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/138
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3. Call the ``on_mutation()`` callback function even if
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``mutation_type`` is ``None``.
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https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/138
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PyGAD Projects at GitHub
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========================
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‎docs/source/README_pygad_ReadTheDocs.rst

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PyGAD uses random functions in these 2 libraries:
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1. NumPy
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1. NumPy
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2. random
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def mutation_func(offspring, ga_instance):
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for chromosome_idx in range(offspring.shape[0]):
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random_gene_idx = numpy.random.choice(range(offspring.shape[0]))
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random_gene_idx = numpy.random.choice(range(offspring.shape[1]))
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offspring[chromosome_idx, random_gene_idx] += numpy.random.random()
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‎docs/source/conf.py

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author = 'Ahmed Fawzy Gad'
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# The full version, including alpha/beta/rc tags
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release = '2.18.1'
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release = '2.18.2'
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master_doc = 'index'
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‎docs/source/index.rst

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different types of problems to be optimized using the genetic algorithm
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by customizing the fitness function.
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.. figure:: https://user-images.githubusercontent.com/16560492/101267295-c74c0180-375f-11eb-9ad0-f8e37bd796ce.png
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:alt:
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*Logo designed by*\ `Asmaa
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*Logo designed by* `Asmaa
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Kabil <https://www.linkedin.com/in/asmaa-kabil-9901b7b6>`__
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Besides building the genetic algorithm, it builds and optimizes machine
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version used in developing PyGAD is 1.16.4. For Matplotlib, the version
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is 3.1.0.
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.. _header-n69:
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Quick Start
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===========
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There is more to do using PyGAD. Read its documentation to explore the
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features of PyGAD.
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.. _header-n88:
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PyGAD's Modules
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===============
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The documentation discusses each of these modules.
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PyGAD Citation - Bibtex Formatted
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==============
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=================================
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If you used PyGAD, please consider citing its paper with the following
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details:
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.. code::
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@misc{gad2021pygad,
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title={PyGAD: An Intuitive Genetic Algorithm Python Library},
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author={Ahmed Fawzy Gad},
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year={2021},
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eprint={2106.06158},
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archivePrefix={arXiv},
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primaryClass={cs.NE}
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}
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‎pygad.py

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else:
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self.last_generation_offspring_crossover = self.crossover(self.last_generation_parents,
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offspring_size=(self.num_offspring, self.num_genes))
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if not (self.on_crossover is None):
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self.on_crossover(self, self.last_generation_offspring_crossover)
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# PyGAD 2.18.2 // The on_crossover() callback function is called even if crossover_type is None.
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if not (self.on_crossover is None):
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self.on_crossover(self, self.last_generation_offspring_crossover)
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# If self.mutation_type=None, then no mutation is applied and thus no changes are applied to the offspring created using the crossover operation. The offspring will be used unchanged in the next generation.
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if self.mutation_type is None:
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self.last_generation_offspring_mutation = self.mutation(self.last_generation_offspring_crossover, self)
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self.last_generation_offspring_mutation = self.mutation(self.last_generation_offspring_crossover)
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if not (self.on_mutation is None):
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self.on_mutation(self, self.last_generation_offspring_mutation)
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# PyGAD 2.18.2 // The on_mutation() callback function is called even if mutation_type is None.
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if not (self.on_mutation is None):
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self.on_mutation(self, self.last_generation_offspring_mutation)
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# Update the population attribute according to the offspring generated.
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if self.keep_elitism == 0:

‎setup.py

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setuptools.setup(
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name="pygad",
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version="2.18.1",
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version="2.18.2",
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author="Ahmed Fawzy Gad",
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install_requires=["numpy", "matplotlib",],
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author_email="ahmed.f.gad@gmail.com",

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