JGAP News

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

JGAP version 3.6 is a major release with focus on stability and extension. Some changes:
* Enhanced GP logic a lot
* New examples: MapGeneExample, IslandGPExample
* A lot of smaller changes
* Fixed some bugs
* Added new test cases

This release can be downloaded here:
https://sourceforge.net/projects/jgap/files/jgap/... read more

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

JGAP version 3.5 is a major release with a lot of changes and extensions. Among them:
* Added GP examples and Island example
* New features for monitoring
* New feature unique key for business objects
* A lot of smaller changes
* Fixed some bugs
* Added new test cases, fixed some existing ones
* Enhanced Javadoc... read more

JGAP 3.4.4 releasedJGAP is a sophisticated Genetic Algorithms and Genetic Programming package written in Java.

JGAP version 3.4.4 adds some features and fixes some bugs, regarding the input from JGAP users.
Among the changes are the following:
* GP: aadded support for matrices as well as some
other commands
* Introduced option for disabling cloning of command genes
during creation of GP programs in Programchromosome
* Fixed bug in IfElse.clone
* Fixed clone-bug in LesserThan, GreaterThan, Equals,
Push
* Enhanced Javadoc... read more

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

JGAP version 3.4.3 fixes some bugs, mainly concerning Genetic Programming. Some new GP commands were added as well.
Among the changes are the following:
* GP: aadded support for matrices as well as some
other commands
* Introduced option for disabling cloning of command genes
during creation of GP programs in Programchromosome
* Fixed bug in IfElse.clone
* Fixed clone-bug in LesserThan, GreaterThan, Equals,
Push
* Enhanced Javadoc... read more

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

JGAP version 3.4.2 fixes some bugs, mainly concerning cloning as well as some examples. This includes:
* Corrected cloning of alleles in Chromosome.clone()
* Fixed the Salesman problem: use real coordinates instead
of city indices only; skip acceptable cost option (did
not work); removed shuffle (done with JGAP itself)
* Fixed about box in GA version of Mona Lisa example
* Added math example, see package examples.math
* Fixed the MultiObjective example: fixed MO evaluator and
comparator, enhanced output... read more

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:
http://sourceforge.net/project/showfiles.php?group_id=11618&package_id=48940... read more

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... read more

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

JGAP version 3.3.4 is an extensive release, bringing a lot of new features and a couple of bug fixes. Among them:
* Enhancement of Genetic Programming (GP) and new GP functions
* Enhancement of grid computing
* Some new utility functions and classes
* Some bug fixes
* Javadoc-enhancements and new JUnit tests... read more

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

JGAP version 3.3.3 is an extensive release, featuring basically the following:
* The evolution cycle has been revamped and simplified for a better understanding
* A lot of smaller enhancements and arcitectural improvements, see the change log
* Some bugs have been fixed
* The basic MinimizingMakeChange example was simplified
* Improved grid computing by adding new classes and features
* Javadoc-enhancements
* New JUnit tests... read more