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ECJ, A Java-based Evolutionary Computation Research System. ECJ is a research EC system written in Java. It was designed to be highly flexible, with nearly all classes (and all of their settings) dynamically determined at runtime by a user-provided parameter file. All structures in the system are arranged to be easily modifiable. Even so, the system was designed with an eye toward efficiency. ECJ is developed at George Mason University's ECLab Evolutionary Computation Laboratory. The software has nothing to do with its initials' namesake, Evolutionary Computation Journal. ECJ's sister project is MASON, a multi-agent simulation system which dovetails with ECJ nicely.

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parent.0 = ecsuite.params

# LOWER LEVEL STUFF IN META
# This tells us not to write out to a statistics file
stat.file = /dev/null
stat.silent=true
silent = true

# TWEAKS TO THE PROBLEM
eval.problem.type = rotated-griewank
pop.subpop.0.species.min-gene =         -600
pop.subpop.0.species.max-gene =         600
pop.subpop.0.species.genome-size =      100
pop.subpop.0.species.pipe =             ec.vector.breed.VectorMutationPipeline
pop.subpop.0.species.pipe.source.0 =    ec.es.ESSelection
pop.subpop.0.species.crossover-type =   one
breed =                                 ec.es.MuCommaLambdaBreeder

evaluations = 10000	

# ARBITRARY DEFAULTS
# This stuff will get overridden at the meta-level but we define it
# here mostly for testing purposes

generations = 500
pop.subpop.0.species.mutation-prob = 1.0
pop.subpop.0.species.mutation-type = gauss
pop.subpop.0.species.mutation-stdev = 0.01
pop.subpop.0.species.alternative-polynomial-version = false
pop.subpop.0.species.mutation-distribution-index = 2
pop.subpop.0.size = 100
es.mu-fraction.0 = 0.2