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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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See the README file in the superdiretoctory (ecj/ec/gp/), which describes
the files in this directory as well.  Some specifics not described there:


ec.gp.koza.CrossoverPipeline

A GPBreedingPipeline which performs subtree crossover.


ec.gp.koza.MutationPipeline

A GPBreedingPipeline which performs subtree mutation (replacing a randomly
chosen subtree with a randomly-generated subtree).


ec.gp.GrowBuilder

A GPNodeBuilder which implements Koza's GROW algorithm.


ec.gp.FullBuilder

A GPNodeBuilder which implements Koza's FULL algorithm.


ec.gp.HalfBuilder

A GPNodeBuilder which implements Koza's RAMPED HALF-AND-HALF algorithm.






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