JGAP is a Genetic Algorithms and Genetic Programming package written in Java.
JGAP version 3.2 Release Candidate 1 represents major feature enhancements, including:
+ Genetic Programming enhancements
+ A complex Robocode GP example for evolving pure Java code
+ Improvements in the grid logic (especially in the architecture)
+ A lot of new unit tests (currently we count over 1300 unit tests).
This version is quite mature. It is a prerelease before the final version will be published. The intention of this release is to make the new functionality available as soon as possible. Feedback from you is always welcome and necessary to still raise the quality of JGAP in the future!
This release can be downloaded here:
For more information visit http://jgap.sourceforge.net
Klaus Meffert for the JGAP team