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 3.0final 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 capabilities of JGAP as well as displaying the best evolved programs in the form of a graphical tree. We took the feedback from the three release candidates to enhance the current release.
As always, the javadocs have been improved, 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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