Uses of Class
ec.BreedingSource

Packages that use BreedingSource

ec
ec.breed
ec.es
ec.gp
ec.gp.breed
ec.gp.koza
ec.multiobjective.spea2	Strength Pareto Evolutionary Algorithm implementation.
ec.parsimony
ec.rule.breed
ec.select
ec.spatial
ec.vector.breed

Uses of BreedingSource in ec

Subclasses of BreedingSource in ec

class	BreedingPipeline A BreedingPipeline is a BreedingSource which provides "fresh" individuals which can be used to fill a new population.
class	SelectionMethod A SelectionMethod is a BreedingSource which provides direct IMMUTABLE pointers to original individuals in an old population, not fresh mutable copies.

Fields in ec declared as BreedingSource

BreedingSource[]

BreedingPipeline.sources Array of sources feeding the pipeline

Methods in ec with parameters of type BreedingSource

static int	BreedingSource.pickRandom(BreedingSource[] sources, float prob) Picks a random source from an array of sources, with their probabilities normalized and summed as follows: For example, if four breeding source probabilities are {0.3, 0.2, 0.1, 0.4}, then they should get normalized and summed by the outside owners as: {0.3, 0.5, 0.6, 1.0}.
static void	BreedingSource.setupProbabilities(BreedingSource[] sources) Normalizes and arranges the probabilities in sources so that they are usable by pickRandom(...).

Uses of BreedingSource in ec.breed

Subclasses of BreedingSource in ec.breed

class	BufferedBreedingPipeline If empty, a BufferedBreedingPipeline makes a request of exactly num-inds individuals from a single child source; it then uses these individuals to fill requests (returning min each time), until the buffer is emptied, at which time it grabs exactly num-inds more individuals, and so on.
class	ForceBreedingPipeline ForceBreedingPipeline has one source.
class	GenerationSwitchPipeline GenerationSwitchPipeline is a simple BreedingPipeline which switches its source depending on the generation.
class	MultiBreedingPipeline MultiBreedingPipeline is a BreedingPipeline stores some n child sources; each time it must produce an individual or two, it picks one of these sources at random and has it do the production.
class	ReproductionPipeline ReproductionPipeline is a BreedingPipeline which simply makes a copy of the individuals it recieves from its source.

Uses of BreedingSource in ec.es

Subclasses of BreedingSource in ec.es

class

ESSelection ESSelection is a special SelectionMethod designed to be used with evolutionary strategies-type breeders.

Uses of BreedingSource in ec.gp

Subclasses of BreedingSource in ec.gp

class

GPBreedingPipeline A GPBreedingPipeline is a BreedingPipeline which produces only members of some subclass of GPSpecies.

Uses of BreedingSource in ec.gp.breed

Subclasses of BreedingSource in ec.gp.breed

class	InternalCrossoverPipeline InternalCrossoverPipeline picks two subtrees from somewhere within an individual, and crosses them over.
class	MutateAllNodesPipeline MutateAllNodesPipeline implements the AllNodes mutation algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98.
class	MutateDemotePipeline MutateDemotePipeline works very similarly to the DemoteNode algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98, and is also similar to the "insertion" operator found in Una-May O'Reilly's thesis, "An Analysis of Genetic Programming".
class	MutateERCPipeline MutateERCPipeline works very similarly to the "Gaussian" algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98.
class	MutateOneNodePipeline MutateOneNodesPipeline implements the OneNode mutation algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98.
class	MutatePromotePipeline MutatePromotePipeline works very similarly to the PromoteNode algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98, and is also similar to the "deletion" operator found in Una-May O'Reilly's thesis, "An Analysis of Genetic Programming".
class	MutateSwapPipeline MutateSwapPipeline works very similarly to the Swap algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98.
class	RehangPipeline RehangPipeline picks a nonterminal node other than the root and "rehangs" it as a new root.

Uses of BreedingSource in ec.gp.koza

Subclasses of BreedingSource in ec.gp.koza

class	CrossoverPipeline CrossoverPipeline is a GPBreedingPipeline which performs a strongly-typed version of Koza-style "Subtree Crossover".
class	MutationPipeline MutationPipeline is a GPBreedingPipeline which implements a strongly-typed version of the "Point Mutation" operator as described in Koza I.

Uses of BreedingSource in ec.multiobjective.spea2

Subclasses of BreedingSource in ec.multiobjective.spea2

class

SPEA2TournamentSelection Does a simple tournament selection, limited to the subpopulation it's working in at the time and only within the boundry of the SPEA2 archive (between 0-archiveSize).

Uses of BreedingSource in ec.parsimony

Subclasses of BreedingSource in ec.parsimony

class	BucketTournamentSelection Does a tournament selection, limited to the subpopulation it's working in at the time.
class	DoubleTournamentSelection
class	LexicographicTournamentSelection Does a simple tournament selection, limited to the subpopulation it's working in at the time.
class	ProportionalTournamentSelection This selection method adds parsimony pressure to the regular tournament selection.
class	RatioBucketTournamentSelection Does a tournament selection, limited to the subpopulation it's working in at the time.

Uses of BreedingSource in ec.rule.breed

Subclasses of BreedingSource in ec.rule.breed

class	RuleCrossoverPipeline RuleCrossoverPipeline is a BreedingPipeline which implements a simple default crossover for RuleIndividuals.
class	RuleMutationPipeline RuleMutationPipeline is a BreedingPipeline which implements a simple default Mutation for RuleIndividuals.

Uses of BreedingSource in ec.select

Subclasses of BreedingSource in ec.select

class	BestSelection Picks among the best n individuals in a population in direct proportion to their absolute fitnesses as returned by their fitness() methods relative to the fitnesses of the other "best" individuals in that n.
class	FirstSelection Always picks the first individual in the subpopulation.
class	FitProportionateSelection Picks individuals in a population in direct proportion to their fitnesses as returned by their fitness() methods.
class	GreedyOverselection GreedyOverselection is a SelectionMethod which implements Koza-style fitness-proportionate greedy overselection.
class	MultiSelection MultiSelection is a SelectionMethod which stores some n subordinate SelectionMethods.
class	RandomSelection Picks a random individual in the subpopulation.
class	TournamentSelection Does a simple tournament selection, limited to the subpopulation it's working in at the time.

Uses of BreedingSource in ec.spatial

Subclasses of BreedingSource in ec.spatial

class

SpatialTournamentSelection A slight modification of the tournament selection procedure for use with spatially-embedded EAs.

Uses of BreedingSource in ec.vector.breed

Subclasses of BreedingSource in ec.vector.breed

class	VectorCrossoverPipeline VectorCrossoverPipeline is a BreedingPipeline which implements a simple default crossover for VectorIndividuals.
class	VectorMutationPipeline VectorMutationPipeline is a BreedingPipeline which implements a simple default Mutation for VectorIndividuals.