JGAP 3.2.1

JGAP (pronounced "jay-gap") is a genetic algorithms component written in the form of a Java package. JGAP project provides basic genetic mechanisms that can be easily used to apply evolutionary principles to problem solutions. The ground is laid for introducing Genetic Programming to JGAP in the near future!
JGAP has been written to be very easy to use "out of the box," while also designed to be highly modular so that more adventurous users can easily plug-in custom genetic operators and other sub-components.
Genetic algorithms (GAs) are evolutionary algorithms that use the principle of natural selection to evolve a set of solutions toward an optimum solution. GAs are not only very powerful, but are also very easy to use as most of the work can be encapsulated into a single component, requiring users only to define a fitness function that is used to determine how "good" a particular solution is relative to other solutions.
Enhancements:
- Made Robocode example work with newest Robocode version and enhanced the example in general
- Added Maven pom file
- Introduced log4j
- Fixed bug with allTimeBest and cloning (see bug 1744077)
- Fixed bug with GABreeder.evolution (bug 1748528)
- Made INodeValidator serializable
- Added custom-initialization mechanism for GP
- Enhanced IGPChromosome by method getFunctionSet()
- Added Java command version to NOP
- Enhanced Javadoc a lot
- Added two utility functions to SystemKit
- Improved Chromosome.hashCode()
- Added some few unit tests