Metadata-Version: 2.0
Name: pyeasyga
Version: 0.3.0
Summary: A simple and easy-to-use Genetic Algorithm implementation library in Python
Home-page: https://github.com/remiomosowon/pyeasyga
Author: Ayodeji Remi-Omosowon
Author-email: remiomosowon@gmail.com
License: BSD
Keywords: pyeasyga
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Dist: six

pyeasyga
========

|PyPI| |Build Status| |Coverage Status| |Downloads|


Introduction
------------
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.

* Homepage: https://github.com/remiomosowon/pyeasyga
* PyPI: https://pypi.python.org/pypi/pyeasyga
* Documentation: http://pyeasyga.readthedocs.org.
* Issues / Feedback: https://github.com/remiomosowon/pyeasyga/issues 
* Free software: BSD license


Installation
~~~~~~~~~~~~

At the command line, simply run::

    $ pip install pyeasyga

Or clone this repository and run ``python setup.py install`` from within the project directory. e.g.::

    $ git clone https://github.com/remiomosowon/pyeasyga.git
    $ cd pyeasyga
    $ python setup.py install

For alternative install methods, see the INSTALL file or the Installation 
section in the documentation.


Examples
~~~~~~~~

See the Usage section in the documentation for examples. The example files can 
be found in the ``examples`` directory.


Note
-----

* Currently under active development


.. |PyPI| image:: https://badge.fury.io/py/pyeasyga.png
   :target: http://badge.fury.io/py/pyeasyga

.. |Build Status| image:: https://travis-ci.org/remiomosowon/pyeasyga.png?branch=develop
   :target: https://travis-ci.org/remiomosowon/pyeasyga

.. |Coverage Status| image:: https://coveralls.io/repos/remiomosowon/pyeasyga/badge.png?branch=develop
   :target: https://coveralls.io/r/remiomosowon/pyeasyga?branch=develop

.. |Downloads| image:: https://pypip.in/d/pyeasyga/badge.png
   :target: https://pypi.python.org/pypi/pyeasyga





History
-------

v0.3.0
~~~~~~

**2015-04-07**

* Added Python 3.4 support without breaking Python 2 compatibility (thanks to `yasserglez <https://github.com/yasserglez>`_)

v0.2.5
~~~~~~

**2014-07-09**

* Added an example that solves the `8 Queens Puzzle
  <http://en.wikipedia.org/wiki/Eight_queens_puzzle>`_

**2014-07-09**

* Modified the GeneticAlgorithm class initialisation parameters
* Made changes to USAGE documentation
* Added EXAMPLE documentation as a separate section

v0.2.4
~~~~~~

**2014-07-07**

* Refactored most of the code; Made GeneticAlgorithm class more OOP
* Made changes to INSTALLATION documentation

v0.2.3
~~~~~~

**2014-07-05**

* Fixed breaking python 2.6 build

v0.2.2
~~~~~~

**2014-07-05**

* Removed duplicate ‘Example’ documentation; now maintaining only one copy in 
  examples/README.rst
* Added link to jeffknupp’s sandman repo in HISTORY
* Modified release option in Makefile to also upload project documentation
* Added INSTALLATION and EXAMPLE sections to README.rst
* Removed easy_install installation step from documentation (pip is 
  sufficient)
* Added a simple example of usage to docs/usage.rst
* Reduced the default GA population and generation size (to allow applications 
  that use the different parameters to run quickly)
* Modified tests to account for the new default population, generation size
* Added docstrings to all methods

v0.2.0
~~~~~~

**2014-07-04**

* First upload to pypi.
* Added changes made to HISTORY (pypi upload, new version)

v0.1.0
~~~~~~

**2014-06-23**

* Start of ``pyeasyga`` development.

**2014-07-03**

* 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 <https://github.com/jeffknupp/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



