JGAP 3.4.1 released (Java Genetic Algorithms Package)

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
• Javadoc-enhancements

This release can be downloaded here:
http://sourceforge.net/project/showfiles.php?group_id=11618&package_id=48940

For more information visit the JGAP homepage.

JGAP 3.4 released (Java Genetic Algorithms Package)

JGAP is a sophisticated Genetic Algorithms and Genetic Programming package written in Java.

JGAP version 3.4 is an enhancement release, driving Genetic Programming capabilities to a new level. Among the extensions are:

• A new popular example: Mona Lisa Painting Problem, available for GA as well as for GP
• Enhancement of evolution cycle of Genetic Programming
• Javadoc-enhancements and new JUnit tests
• Some bug fixes

This release can be downloaded here:
http://sourceforge.net/project/showfiles.php?group_id=11618&package_id=48940

For more information visit the JGAP homepage.