Illinois Genetic Algorithms Laboratory

kluasikm announces at SourceForge the release of JGAP 2.2

JGAP is a genetic algorithms package written in Java. It is designed to require minimum effort to use “out of the box”, but is also designed to be highly modular to allow for custom components to be easily plugged in by the more adventurous. JGAP version 2.2 represents a new release bringing in many more test cases, bug fixes, and a new complex example (”function finder”).

This release lays ground for the upcoming version 3.0 extending status quo torwards Genetic Programming, auditing of performance, bioinformatic matters and ease of handling.