Uses of Interface
org.cicirello.search.evo.ReplacementStrategy.Replacements

Packages that use ReplacementStrategy.Replacements

Package	Description
org.cicirello.search.evo	This package includes classes and interfaces directly related to implementing evolutionary algorithms.

Uses of ReplacementStrategy.Replacements in org.cicirello.search.evo

Methods in org.cicirello.search.evo with parameters of type ReplacementStrategy.Replacements

Modifier and Type	Method	Description
void	GenerationalElitistReplacement.replace(PopulationCandidates.DoubleFitness<T> parentPopulation, PopulationCandidates.DoubleFitness<T> childPopulation, ReplacementStrategy.Replacements replacements, int targetPopulationSize)
void	GenerationalElitistReplacement.replace(PopulationCandidates.IntegerFitness<T> parentPopulation, PopulationCandidates.IntegerFitness<T> childPopulation, ReplacementStrategy.Replacements replacements, int targetPopulationSize)
void	GenerationalReplacement.replace(PopulationCandidates.DoubleFitness<T> parentPopulation, PopulationCandidates.DoubleFitness<T> childPopulation, ReplacementStrategy.Replacements replacements, int targetPopulationSize)
void	GenerationalReplacement.replace(PopulationCandidates.IntegerFitness<T> parentPopulation, PopulationCandidates.IntegerFitness<T> childPopulation, ReplacementStrategy.Replacements replacements, int targetPopulationSize)
void	ReplacementStrategy.replace(PopulationCandidates.DoubleFitness<T> parentPopulation, PopulationCandidates.DoubleFitness<T> childPopulation, ReplacementStrategy.Replacements replacements, int targetPopulationSize)	Chooses the members of the population of the next generation from among those currently in the population and the pool of candidates formed from crossover and mutation.
void	ReplacementStrategy.replace(PopulationCandidates.IntegerFitness<T> parentPopulation, PopulationCandidates.IntegerFitness<T> childPopulation, ReplacementStrategy.Replacements replacements, int targetPopulationSize)	Chooses the members of the population of the next generation from among those currently in the population and the pool of candidates formed from crossover and mutation.