Fork of pyeasyga with some optimizations with numpy arrays and multiprocessing.
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
- PyPI
- Documentation.
- Issues / Feedback
- 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.
Requirements
- six
- numpy
- pathos
Examples
See the Usage section in the documentation for examples. The example files can
be found in the ``examples`` directory.