# Copyright 2010 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/nsga2/nsga2.params


# NSGA-II wil use a population size of 100.  Its archive will be another 100 
# on top of that.  Since we're not reevaluating elites, only the 100 new
# individuals will be bred and evaluated each generation.
#
# For more discussion about how to get SPEA2 and NSGA-II to have "equivalent"
# numbers of evaluations in ECJ, see the README files for the SPEA2 and NSGA-II
# packages.
#
# constants from  "Zitzler, E., Deb, K., and Thiele, L., 2000,
# Comparison of Multiobjective Evolutionary Algorithms: Empirical Results,
# Evolutionary Computation, Vol. 8, No. 2, pp173-195."
#
pop.subpop.0.size =                     100
generations =                           250


# NSGA2's pipeline

pop.subpop.0.species.pipe		     	= ec.vector.breed.VectorMutationPipeline
pop.subpop.0.species.pipe.likelihood        	= 1.0
pop.subpop.0.species.pipe.source.0		= ec.vector.breed.VectorCrossoverPipeline
pop.subpop.0.species.pipe.source.0.likelihood 	= 0.9
pop.subpop.0.species.pipe.source.0.source.0 	= ec.select.TournamentSelection
pop.subpop.0.species.pipe.source.0.source.1 	= same
select.tournament.size 				= 2