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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.

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