pyeasyga 0.3.1

Description:

pyeasyga 0.3.1

Introduction
A simple and easy-to-use implementation of a Genetic Algorithm 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



History

v0.3.0
2015-04-07

Added Python 3.4 support without breaking Python 2 compatibility (thanks to yasserglez)



v0.2.5
2014-07-09

Added an example that solves the 8 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
selected versioning standard: major.minor.micro (e.g. 2.1.5)

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