Uses of Interface
org.cicirello.search.evo.PopulationMetaheuristic

Packages that use PopulationMetaheuristic

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

Uses of PopulationMetaheuristic in org.cicirello.search.evo

Classes in org.cicirello.search.evo that implement PopulationMetaheuristic

Modifier and Type	Class	Description
final class	AdaptiveEvolutionaryAlgorithm<T extends Copyable<T>>	This class implements an evolutionary algorithm with adaptive control parameters (i.e., crossover rates and mutation rates that evolve during the search).
final class	AdaptiveMutationOnlyEvolutionaryAlgorithm<T extends Copyable<T>>	This class implements an mutation-only evolutionary algorithm with an adaptive mutation rate that evolves during the search.
final class	GenerationalDisjointOperatorsEvolutionaryAlgorithm<T extends Copyable<T>>	This class implements an evolutionary algorithm (EA) with a generational model, where a population of children are formed by applying genetic operators to members of the parent population, and where the children replace the parents in the next generation.
class	GenerationalEvolutionaryAlgorithm<T extends Copyable<T>>	This class implements an evolutionary algorithm with a generational model, such as is commonly used in genetic algorithms, where a population of children are formed by applying genetic operators to members of the parent population, and where the children replace the parents in the next generation.
class	GenerationalMutationOnlyEvolutionaryAlgorithm<T extends Copyable<T>>	This class implements an evolutionary algorithm (EA) with a generational model, such as is commonly used in genetic algorithms, where a population of children are formed by applying mutation to members of the parent population, and where the children replace the parents in the next generation.
class	GeneticAlgorithm	This class is an implementation of a genetic algorithm (GA) with the common bit vector representation of solutions to optimization problems, and the generational model where children replace their parents each generation.
final class	MutationOnlyGeneticAlgorithm	This class is an implementation of a mutation-only genetic algorithm (GA) with the common bit vector representation of solutions to optimization problems, and the generational model where children replace their parents each generation.
final class	SimpleGeneticAlgorithm	This class is an implementation of the simple genetic algorithm (Simple GA) with the common bit vector representation of solutions to optimization problems, and the generational model where children replace their parents each generation.

Methods in org.cicirello.search.evo that return PopulationMetaheuristic

Modifier and Type	Method	Description
PopulationMetaheuristic<T>	PopulationMetaheuristic.split()