JGAP is a genetic algorithms and genetic programming 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. It allows custom components to be easily plugged in.
JGAP version 3.0 (Release Candidate 3) represents a major release manifesting well tested Genetic Programming capabilities with JGAP, including two GP examples. One example, Fibonacci computation is quite complex and shows the GP functionality of JGAP.
We took the experience from the previous release candidates to enhance the current release and present it as Release Candidate 3.
As always, the javadocs have been improved, of course new unit tests have been added (we are counting nearly 1200), and the overall GP structure has improved a lot.
This release can be downloaded here:
For more information visit http://jgap.sourceforge.net
Klaus Meffert for the JGAP team
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