Project Goal

This project aims to create a universal framework for Evolutionary Computing tasks in Python. It includes commonly used chromosomes, variation and selection operators, and population and challenge management.

About python-genetic

python-genetic is a new project in the spirit of an unmaintained module of the same name by Jean-Baptiste Lamy, though none of its code is derived. It is licensed under the LGPL.

Places to Start

Download the source: »http://sourceforge.net/projects/python-genetic
Run some demos: »http://cvs.sourceforge.net/viewcvs.py/python-genetic/python-genetic/demo/
Browse the module documentation: »http://python-genetic.sourceforge.net/docs

Current Status

python-genetic is currently in a pre-alpha state. That said, it has a suite of unit tests and can be used for some EC tasks already. Features and module structure are extremely volatile at this time, so use it at your own peril!

Roadmap

Version 1.0: anticipated sometime 2006
- Implementations of the most common chromosomes
- Optimized mutation and recombination operators
- Population and challenge management
- A host of unit tests
- Examples and tutorials for Evolutionary Computing
Version 2.0
- Integration with Twisted for distributing populations
- Port some of the more intensive operators to C extensions