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A simple and easy-to-use Genetic Algorithm implementation library in Python

Project description

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A simple and easy-to-use Genetic Algorithm implementation library in Python.

pyeasyga provides a simple interface to the power of Genetic Algorithms (GAs). You don’t have to have expert GA knowledge in order to use it.

Note

  • Currently under development

History

2014-07-04 (v0.2.0)

  • Upload to pypi.
  • Reflect changes in HISTORY (pypi upload, new version)

2014-07-03 (v0.1.0)

  • Implemented all of basic GA functionality

  • Fix issue with odd-numbered population that causes an off-by-one error in the population size

  • Set default ga selection function to tournament_selection

  • Created examples to show how to use the library

  • Start versioning (better late than never); copied jeffknupp’s update_version.sh from sandman

    selected versioning standard: major.minor.micro (e.g. 2.1.5)

    • major => big changes that can break compatibility
    • minor => new features
    • micro => bug fixes

2014-06-23 (v0.1.0)

  • Start of pyeasyga development.

Project details


Release history Release notifications

History Node

0.3.1

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0.3.0

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0.2.5

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0.2.4

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0.2.3

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0.2.2

This version
History Node

0.2.1

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0.2.0

History Node

0.1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
pyeasyga-0.2.1.tar.gz (15.4 kB) Copy SHA256 hash SHA256 Source None Jul 4, 2014

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