Package net.bmahe.genetics4j.core.spec

Class EAConfiguration<T extends Comparable<T>>

java.lang.Object

net.bmahe.genetics4j.core.spec.AbstractEAConfiguration<T>

net.bmahe.genetics4j.core.spec.EAConfiguration<T>

Type Parameters:

T - Type of the fitness measurement

Direct Known Subclasses:

ImmutableEAConfiguration

@Immutable
public abstract class EAConfiguration<T extends Comparable<T>>
extends AbstractEAConfiguration<T>

Evolutionary Algorithm Configuration.

This describe the set of strategies to use. They describe the genotype, the different policies for selection, combination as well as mutation, and other relevant parameters such as how to determine the fitness of a given individual.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	EAConfiguration.Builder<T extends Comparable<T>>

Field Summary

Fields inherited from class net.bmahe.genetics4j.core.spec.AbstractEAConfiguration

DEFAULT_OFFSPRING_RATIO, DEFAULT_OPTIMIZATION

Constructor Summary

Constructors

Constructor	Description
EAConfiguration()

Method Summary

Modifier and Type	Method	Description
abstract Fitness<T>	fitness()	Defines how should individuals' fitness be assessed

Methods inherited from class net.bmahe.genetics4j.core.spec.AbstractEAConfiguration

check, chromosomeSpecs, combinationPolicy, fitnessComparator, genotypeCombinator, genotypeGenerator, getChromosomeSpec, mutationPolicies, numChromosomes, offspringGeneratedRatio, optimization, parentSelectionPolicy, postEvaluationProcessor, replacementStrategy, seedPopulation, termination

Methods inherited from class java.lang.Object

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

Constructor Details

EAConfiguration

public EAConfiguration()

Method Details

fitness

public abstract Fitness<T> fitness()

Defines how should individuals' fitness be assessed

Returns: