A simple and easy-to-use implementation of a Genetic Algorithm library in Python
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.
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.
See the Usage section in the documentation for examples. The example files can be found in the examples directory.
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)