JGAP is a sophisticated Genetic Algorithms and Genetic Programming package written in Java.
JGAP version 3.4.1 fine-tunes Genetic Programming capabilities that have been advanced in the previous major release 3.4.
The tuning includes:
- Enhanced GP evolution cycle by avoiding dead ends
- Better support of GP mutation
- Improved Mona Lisa Painting Problem example
- Some bug fixes
This release can be downloaded here:
For more information visit the JGAP homepage.