Uses of Class
org.oakgp.rank.RankedCandidates

Packages that use RankedCandidates

Package	Description
org.oakgp.evolve	Provides classes to use techniques inspired by biological evolution for the creation of new candidates from an existing generation.
org.oakgp.rank	Provides classes for the evaluation and ranking of candidates in a generation.
org.oakgp.rank.fitness	Provides classes for using a fitness function to rank the candidates of a generation.
org.oakgp.rank.tournament	Provides classes for using a round-robin tournament to rank the candidates of a generation.
org.oakgp.select	Provides classes for the selection of Node instances.
org.oakgp.terminate	Provides implementations of termination criteria.
org.oakgp.util	Utility classes that support the functionality provided by the rest of the framework.

Uses of RankedCandidates in org.oakgp.evolve

Methods in org.oakgp.evolve with parameters of type RankedCandidates

Modifier and Type	Method and Description
Collection<Node>	GenerationEvolverImpl.evolve(RankedCandidates oldGeneration) Returns a new generation of Node instances evolved from the specified existing generation.
Collection<Node>	GenerationEvolver.evolve(RankedCandidates oldGeneration) Returns a new generation of Node instances evolved from the specified existing generation.

Uses of RankedCandidates in org.oakgp.rank

Methods in org.oakgp.rank that return RankedCandidates

Modifier and Type	Method and Description
RankedCandidates	GenerationRanker.rank(Collection<Node> input) Returns the sorted result of evaluating the fitness of each of the specified nodes.

Uses of RankedCandidates in org.oakgp.rank.fitness

Methods in org.oakgp.rank.fitness that return RankedCandidates

Modifier and Type	Method and Description
RankedCandidates	FitnessFunctionGenerationRanker.rank(Collection<Node> input) Returns the sorted result of applying this object's FitnessFunction against each of the specified nodes.

Uses of RankedCandidates in org.oakgp.rank.tournament

Methods in org.oakgp.rank.tournament that return RankedCandidates

Modifier and Type	Method and Description
RankedCandidates	RoundRobinTournament.rank(Collection<Node> input)

Uses of RankedCandidates in org.oakgp.select

Methods in org.oakgp.select with parameters of type RankedCandidates

Modifier and Type	Method and Description
RankSelection	RankSelectionFactory.getSelector(RankedCandidates candidates)
NodeSelector	NodeSelectorFactory.getSelector(RankedCandidates candidates) Returns a NodeSelector that selects from the specified candidates.
FitnessProportionateSelection	FitnessProportionateSelectionFactory.getSelector(RankedCandidates candidates)

Constructors in org.oakgp.select with parameters of type RankedCandidates

Constructor and Description
FitnessProportionateSelection(Random random, RankedCandidates candidates) Creates a FitnessProportionateSelection that uses the given Random to select from the given RankedCandidates.
RankSelection(Random random, RankedCandidates candidates) Creates a RankSelection that uses the given Random to select from the given RankedCandidates.

Uses of RankedCandidates in org.oakgp.terminate

Methods in org.oakgp.terminate with parameters of type RankedCandidates

Modifier and Type	Method and Description
boolean	TargetFitnessTerminator.test(RankedCandidates t)
boolean	MaxGenerationsWithoutImprovementTerminator.test(RankedCandidates t)
boolean	MaxGenerationsTerminator.test(RankedCandidates t)
boolean	CompositeTerminator.test(RankedCandidates candidates)

Uses of RankedCandidates in org.oakgp.util

Methods in org.oakgp.util that return RankedCandidates

Modifier and Type	Method and Description
RankedCandidates	RunBuilder.ProcessRunner.process() Processes a genetic programming run using the values configured earlier for this RunBuilder.
static RankedCandidates	Runner.process(GenerationRanker generationRanker, GenerationEvolver generationEvolver, Predicate<RankedCandidates> terminator, Collection<Node> initialPopulation) Performs a Genetic Programming run.

Method parameters in org.oakgp.util with type arguments of type RankedCandidates

Modifier and Type	Method and Description
static RankedCandidates	Runner.process(GenerationRanker generationRanker, GenerationEvolver generationEvolver, Predicate<RankedCandidates> terminator, Collection<Node> initialPopulation) Performs a Genetic Programming run.
RunBuilder.TerminatorSetterOrProcessRunner	RunBuilder.TerminatorSetter.setTerminator(Predicate<RankedCandidates> terminator) Sets the criteria used by this run to determine when it should stop.