pl.edu.agh.age.compute.ea

Class GeneticPipeline<T extends java.io.Serializable,S extends Solution<T>>

java.lang.Object

pl.edu.agh.age.compute.ea.Pipeline<S,GeneticPipeline<T,S>>

pl.edu.agh.age.compute.ea.GeneticPipeline<T,S>

public final class GeneticPipeline<T extends java.io.Serializable,S extends Solution<T>>
extends Pipeline<S,GeneticPipeline<T,S>>

Field Summary

Fields

Modifier and Type	Field and Description
private NormalizedDoubleRandomGenerator	rand
private io.vavr.collection.Stream<java.lang.Double>	randomDoubles

Fields inherited from class pl.edu.agh.age.compute.ea.Pipeline

pipelineFactory, population

Constructor Summary

Constructors

Modifier	Constructor and Description
private	GeneticPipeline(io.vavr.collection.List<S> population)
private	GeneticPipeline(io.vavr.collection.List<S> population, NormalizedDoubleRandomGenerator rand)

Method Summary

Modifier and Type	Method and Description
GeneticPipeline<T,S>	evaluate(Evaluator<S> evaluator) Evaluate the population.
GeneticPipeline<T,S>	individualMutation(Mutation<S> mutation, double chanceToMutate) Individually mutate each solution with the given chance to mutate.
static <I extends java.io.Serializable,V extends Solution<I>> GeneticPipeline<I,V>	on(io.vavr.collection.List<V> population) Create a new pipeline for the given population.
GeneticPipeline<T,S>	pairedRecombine(Recombination<S> recombination, double chanceToRecombine) Recombine the population using the given operator.
GeneticPipeline<T,S>	preselect(Preselection<S> preselection) Preselect the population using the given operator.
GeneticPipeline<T,S>	withRandomGenerator(NormalizedDoubleRandomGenerator rand) Changes the random number generator for the current pipeline.

Methods inherited from class pl.edu.agh.age.compute.ea.Pipeline

extract, mergeWith, split

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

rand

private final NormalizedDoubleRandomGenerator rand

randomDoubles

private final io.vavr.collection.Stream<java.lang.Double> randomDoubles

Constructor Detail

GeneticPipeline

private GeneticPipeline(io.vavr.collection.List<S> population,
                        NormalizedDoubleRandomGenerator rand)

GeneticPipeline

private GeneticPipeline(io.vavr.collection.List<S> population)

Method Detail

on

public static <I extends java.io.Serializable,V extends Solution<I>> GeneticPipeline<I,V> on(io.vavr.collection.List<V> population)

Create a new pipeline for the given population.

Parameters:

population - population of EMAS agents.

Returns:

a new pipeline instance.

withRandomGenerator

public GeneticPipeline<T,S> withRandomGenerator(NormalizedDoubleRandomGenerator rand)

Changes the random number generator for the current pipeline.

Parameters:

rand - a new double random generator to use.

Returns:

a new pipeline instance with the new generator.

preselect

public GeneticPipeline<T,S> preselect(Preselection<S> preselection)

Preselect the population using the given operator.

Parameters:

preselection - preselection operator.

Returns:

a pipeline instance with the preselected population.

pairedRecombine

public GeneticPipeline<T,S> pairedRecombine(Recombination<S> recombination,
                                            double chanceToRecombine)

Recombine the population using the given operator. Recombination is done on two solutions located one after another on the list.

Parameters:

recombination - recombination operator.

chanceToRecombine - probability of two solutions to recombine.

Returns:

a pipeline instance with the new (recombined) population.

individualMutation

public GeneticPipeline<T,S> individualMutation(Mutation<S> mutation,
                                               double chanceToMutate)

Individually mutate each solution with the given chance to mutate.

Parameters:

mutation - mutation operator.

chanceToMutate - probability that the solution will be mutated. Should be within [0,1] range.

Returns:

a pipeline instance with the new (mutated) population.

evaluate

public GeneticPipeline<T,S> evaluate(Evaluator<S> evaluator)

Evaluate the population.

Parameters:

evaluator - evaluation operator.

Returns:

a pipeline instance with the evaluated population.