source: branches/OKBJavaConnector/ECJClient/src/ec/multiobjective/spea2/spea2.params @ 12912

# Copyright 2006 by Sean Luke and George Mason University
# Licensed under the Academic Free License version 3.0
# See the file "LICENSE" for more information

parent.0 = ../multiobjective.params
parent.1 = ../../simple/simple.params

# Be sure to set the multiobjective fitness size as shown in ../multiobjective.params
# Likewise note tht ../multiobjective.params sets the statistics

# the size of the elitist archive.  This must not be larger
# than the subpopulation size, and it generally could be roughly
# the size of the number of solutions you expect.  If your subpopulation
# was 1024 in size, maybe this might be a reasonable value...
breed.elite.0 =     128

# We also use a special version of MultiObjectiveFitness
pop.subpop.0.species.fitness =        ec.multiobjective.spea2.SPEA2MultiObjectiveFitness

# We have our own evaluator and breeder
eval =            ec.multiobjective.spea2.SPEA2Evaluator
breed =           ec.multiobjective.spea2.SPEA2Breeder

# It's important that you use a modified version of TournamentSelection
# for all selection functions in your breeding pipeline.  
# This version is called ec.multiobjective.spea2.SPEA2TournamentSelection
# For example:

# pop.subpop.0.species.pipe                   = ec.vector.breed.VectorMutationPipeline
# pop.subpop.0.species.pipe.source.0          = ec.vector.breed.VectorCrossoverPipeline
# pop.subpop.0.species.pipe.source.0.source.0 = ec.multiobjective.spea2.SPEA2TournamentSelection
# pop.subpop.0.species.pipe.source.0.source.1 = same