JGAP 3.3 released (Java Genetic Algorithms Package)

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

JGAP version 3.3 is a stability release, it includes the following:

• Integrated Robocode 1.4.8 with JGAP
  
• Added persistent representations of GPPopulation,
  GPProgram, ProgramChromosome and CommandGene
  
• Enhanced interface IProgramCreator
  
• GPProgram: added a growOrFull method for initializing
  programs with given chromosomes
  
• CommandGene: added service method ensureUniqueness
  
• Now infinity is not accepted as a fitness value
  
• New method getAssignableFromClass in BaseGPChromosome
  
• New interface IComplexCommand for declaring GP commands
  as complex
  
• Enhanced DefaultGPFitnessEvaluator: capable of handling
  IllegalStateException's (for wrong programs)
  
• Enhanced GPProgram: capable of handling
  IllegalStateException's (for wrong programs)
  
• Enhanced GPGenotype.outputSOlution()
  
• Fixed serious bug with GP mutation of functions
  
• Fixed bug with GP evolution (probability fix)
  
• Fixed Java 6 bug with MathProblem
  
• Fixed bug in GPProblem.createTree
  
• Fixed bug in DynamicMutationExample
  
• Enhanced logging of GP information
  
• Enhanced Javadoc
  
• Added some unit tests
  

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 at http://jgap.sourceforge.net

Klaus Meffert for the JGAP team