verbosity	= 0

breedthreads	= 1
evalthreads		= 1
seed.0			= 4357

pop			= ec.Population
state		= ec.simple.SimpleEvolutionState
init		= ec.simple.SimpleInitializer
finish		= ec.simple.SimpleFinisher
breed		= ec.simple.SimpleBreeder
stat 		= ec.simple.SimpleShortStatistics
exch		= ec.simple.SimpleExchanger
eval		= coevolution.eval.SimpleCoevolutionaryEvaluator

generations				= 500
checkpoint				= false
prefix					= ec
checkpoint-modulo		= 1

pop.subpops			= 2
pop.subpop.0		= ec.Subpopulation
pop.subpop.1		= ec.Subpopulation

pop.subpop.0.size 				= 25
pop.subpop.1.size 				= 25
pop.subpop.0.duplicate-retries 	= 0
pop.subpop.1.duplicate-retries 	= 0

pop.subpop.0.species 				= ec.vector.VectorSpecies
pop.subpop.1.species 				= ec.vector.VectorSpecies
pop.subpop.0.species.fitness 		= ec.simple.SimpleFitness
pop.subpop.1.species.fitness 		= ec.simple.SimpleFitness
pop.subpop.0.species.ind			= ec.vector.BitVectorIndividual
pop.subpop.1.species.ind			= ec.vector.BitVectorIndividual

pop.subpop.0.species.genome-size	= 100
pop.subpop.1.species.genome-size	= 100
pop.subpop.0.species.crossover-type	= one
pop.subpop.1.species.crossover-type	= one
pop.subpop.0.species.mutation-prob	= 0.05
pop.subpop.1.species.mutation-prob	= 0.05

pop.subpop.0.species.pipe			= ec.vector.breed.VectorMutationPipeline
pop.subpop.1.species.pipe			= ec.vector.breed.VectorMutationPipeline
pop.subpop.0.species.pipe.source.0	= ec.select.FitProportionateSelection
pop.subpop.1.species.pipe.source.0	= ec.select.FitProportionateSelection

eval.problem								= coevolution.app.numbers_game.MultiDimensionalNumbersGame2
eval.problem.dimensions						= 10
eval.problem.dimension-size					= 10
eval.interaction-scheme						= coevolution.interaction.InterPopulationInteractionScheme
eval.subpop.0.sampling-method				= coevolution.sampling.RandomSamplingMethod
eval.subpop.0.sampling-method.sample-size	= 15
eval.subpop.0.fitness-method				= coevolution.fitness.SimpleSumFitness
eval.subpop.1.sampling-method				= coevolution.sampling.RandomSamplingMethod
eval.subpop.1.sampling-method.sample-size	= 15
eval.subpop.1.fitness-method				= coevolution.fitness.SimpleSumFitness

stat.file									= $out.stat
stat.num-children 							= 2
stat.child.0 								= coevolution.statistics.AverageObjectiveFitnessChartStatistics
stat.child.0.title 							= Average performance
stat.child.0.x-axis-label 					= generation
stat.child.0.y-axis-label 					= fitness
stat.child.0.fitness-calc 					= coevolution.app.numbers_game.MultiDimensionalNumbersGame2
stat.child.0.fitness-calc.dimensions 		= 10
stat.child.0.fitness-calc.dimension-size 	= 10
stat.child.1 								= coevolution.statistics.AverageSubjectiveFitnessChartStatistics
stat.child.1.title 							= Average subjective performance
stat.child.1.x-axis-label 					= generation
stat.child.1.y-axis-label 					= fitness
stat.child.1.fitness-calc 					= coevolution.app.numbers_game.MultiDimensionalNumbersGame2 
stat.child.1.fitness-calc.dimensions 		= 10
stat.child.1.fitness-calc.dimension-size 	= 10