Download the latest version of SpeedyGA (version 1.3) from Matlab Central’s File Exchange or from Google Code.

Version 1.3 of speedyGA is faithful to the specification for a simple GA given on page 10 of Melanie Mitchell’s book “Introduction to Genetic Algorithms”; that is if none of the bells and whistles (mask repositories, stochastic universal sampling, and sigma scaling) are used. SpeedyGA has also been changed from a function to a script. This makes it easier to inspect variables and plot data after a run has completed.

[Update Jan 27, 2013: SpeedyGA.py is a port of SpeedyGA to Python]