A simple and easy-to-use Genetic Algorithm implementation library in Python
Project description
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.
Free software: BSD license
Documentation: http://pyeasyga.readthedocs.org.
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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