JAGA, the Java API for Genetic Algorithms

JAGA is a generic Java API for implementing genetic algorithm and genetic programming applications in Java. It has been created as a research tool at the computer science department of the University College London.

Presently JAGA runs on Java 1.4 or later.

The plug-in style design of JAGA and its extensibility allow implementing any type of GA or GP application very quickly. A range of ready-to-use genetic algorithms and operators is included and new ones can be created easily by implementing the provided interfaces.

The following plug-in features are currently provided:
(further features can be easily realised by extending these features)

• GA Algorithms:
  • Simple GAs
  • Elitist GAs with best and worst cut-offs
  • Simple & Elitist GAs with specified initial populations
• Genotype representations for:
  • Grey coded numbers (integers & arbitrary precision decimals)
  • Boolean formulas (in form of function trees)
  • Protein sequences (in form of amino acid patterns)
    
• For each of the above genotypes following operators are available:
  • Crossover (with various parameters)
  • Mutation (different types with various parameters)
  • Elongation (only for amino acid patterns)
    
• Analysis tools:
  • Tracing of every change in the population
  • Tracing of all fitness evaluations
  • Graphical and numerical analysis of population statistics, such as best fitness, worst fitness, average fitness, std. deviation of fitness for each generation, overall best fitness tracking and others