Skip to main content

Gene Expression Programming for Python

Project description

PyGEP is a simple library suitable for academic study of GEP (Gene Expression Programming) in Python, aiming for ease of use and rapid implementation. It provides standard multigenic chromosomes; a population class using elitism and fitness scaling for selection; mutation, crossover and transposition operators; and some standard GEP functions and linkers.

PyGEP is intended for research, not commercial application. Those interested in a full GEP system are advised to visit Gepsoft.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

PyGEP-0.1.beta_r27-py2.5.egg (25.9 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page