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cross ( genome1 , genome2 , config ) : { maxGeneIndex : number ; newGenes : ConnectionGene [] ; }
Parameters
config : { addLinkProbability : number ; addNodeProbability : number ; compatibilityModifier : number ; compatibilityThreshold : number ; disjointCoefficient : number ; excessCoefficient : number ; fitnessSort : FitnessSort ; hallOfFameSize : number ; initialPopulationSize : number ; inputSize : number ; interspeciesMatingRate : number ; largeNetworkSize : number ; loggingPlugins : Logger [] ; mateByAveragingProbability : number ; mateByChoosingProbability : number ; mateOnlyProbability : number ; maxGenerations : number ; maximumStagnation : number ; minimumSpeciesSize : number ; mutateOnlyProbability : number ; mutateWeightProbability : number ; nnPlugin : NNPlugin ; outputSize : number ; reenableConnectionProbability : number ; survivalThreshold : number ; targetSpecies : number ; weightDifferenceCoefficient : number ; }
add : number
add : number
compatibility : number
compatibility : number
disjoint : number
excess : number
hall : number
initial : number
input : number
interspecies : number
large : number
logging : Logger []
mate : number
mate : number
mate : number
max : number
maximum : number
minimum : number
mutate : number
mutate : number
output : number
reenable : number
survival : number
target : number
weight : number
Returns { maxGeneIndex : number ; newGenes : ConnectionGene [] ; }
Disjoint and excess genes are inherited from the more fit parent, or if they are equally fit, each gene is inherited from either parent randomly. Disabled genes have a chance of being reenabled during crossover, allowing networks to make use of older genes once again.