A simple and easy-to-use Genetic Algorithm implementation library in Python
Project description
===============================
pyeasyga
===============================
.. image:: https://badge.fury.io/py/pyeasyga.png
:target: http://badge.fury.io/py/pyeasyga
.. image:: https://travis-ci.org/remiomosowon/pyeasyga.png?branch=develop
:target: https://travis-ci.org/remiomosowon/pyeasyga
.. image:: https://coveralls.io/repos/remiomosowon/pyeasyga/badge.png?branch=develop
:target: https://coveralls.io/r/remiomosowon/pyeasyga?branch=develop
.. image:: https://pypip.in/d/pyeasyga/badge.png
:target: https://pypi.python.org/pypi/pyeasyga
-------------------------------------------------------------------
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.
.. include:: ../examples/README.rst
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.
pyeasyga
===============================
.. image:: https://badge.fury.io/py/pyeasyga.png
:target: http://badge.fury.io/py/pyeasyga
.. image:: https://travis-ci.org/remiomosowon/pyeasyga.png?branch=develop
:target: https://travis-ci.org/remiomosowon/pyeasyga
.. image:: https://coveralls.io/repos/remiomosowon/pyeasyga/badge.png?branch=develop
:target: https://coveralls.io/r/remiomosowon/pyeasyga?branch=develop
.. image:: https://pypip.in/d/pyeasyga/badge.png
:target: https://pypi.python.org/pypi/pyeasyga
-------------------------------------------------------------------
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.
.. include:: ../examples/README.rst
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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