org.uncommons.watchmaker.framework.operators
Class ListCrossover<T>

java.lang.Object
  org.uncommons.watchmaker.framework.operators.AbstractCrossover<List<T>>
      org.uncommons.watchmaker.framework.operators.ListCrossover<T>

Type Parameters:

T - The component type of the lists that are combined.

All Implemented Interfaces:

EvolutionaryOperator<List<T>>

public class ListCrossover<T>
extends AbstractCrossover<List<T>>

Variable-point (fixed or random) cross-over for arbitrary lists.

Author:

Daniel Dyer

Constructor Summary

ListCrossover()
Default is single-point cross-over, applied to all parents.

ListCrossover(int crossoverPoints)
Cross-over with a fixed number of cross-over points.

ListCrossover(int crossoverPoints, Probability crossoverProbability)
Cross-over with a fixed number of cross-over points.

ListCrossover(NumberGenerator<Integer> crossoverPointsVariable)
Cross-over with a variable number of cross-over points.

ListCrossover(NumberGenerator<Integer> crossoverPointsVariable, NumberGenerator<Probability> crossoverProbabilityVariable)
Cross-over with a variable number of cross-over points.

Method Summary

protected List<List<T>>

mate(List<T> parent1, List<T> parent2, int numberOfCrossoverPoints, Random rng) Perform cross-over on a pair of parents to generate a pair of offspring.

Methods inherited from class org.uncommons.watchmaker.framework.operators.AbstractCrossover

apply

Methods inherited from class java.lang.Object

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

Constructor Detail

ListCrossover

public ListCrossover()

Default is single-point cross-over, applied to all parents.

ListCrossover

public ListCrossover(int crossoverPoints)

Cross-over with a fixed number of cross-over points.

Parameters:

crossoverPoints - The constant number of cross-over points to use for all cross-over operations.

ListCrossover

public ListCrossover(int crossoverPoints,
                     Probability crossoverProbability)

Cross-over with a fixed number of cross-over points. Cross-over may or may not be applied to a given pair of parents depending on the crossoverProbability.

Parameters:

crossoverPoints - The constant number of cross-over points to use for all cross-over operations.

crossoverProbability - The probability that, once selected, a pair of parents will be subjected to cross-over rather than being copied, unchanged, into the output population.

ListCrossover

public ListCrossover(NumberGenerator<Integer> crossoverPointsVariable)

Cross-over with a variable number of cross-over points.

Parameters:

crossoverPointsVariable - A random variable that provides a number of cross-over points for each cross-over operation.

ListCrossover

public ListCrossover(NumberGenerator<Integer> crossoverPointsVariable,
                     NumberGenerator<Probability> crossoverProbabilityVariable)

Cross-over with a variable number of cross-over points. Cross-over may or may not be applied to a given pair of parents depending on the crossoverProbability.

Parameters:

crossoverPointsVariable - A random variable that provides a number of cross-over points for each cross-over operation.

crossoverProbabilityVariable - The probability that, once selected, a pair of parents will be subjected to cross-over rather than being copied, unchanged, into the output population.

Method Detail

mate

protected List<List<T>> mate(List<T> parent1,
                             List<T> parent2,
                             int numberOfCrossoverPoints,
                             Random rng)

Perform cross-over on a pair of parents to generate a pair of offspring.

Specified by:

mate in class AbstractCrossover<List<T>>

Parameters:

parent1 - One of two individuals that provides the source material for generating offspring.

parent2 - One of two individuals that provides the source material for generating offspring.

numberOfCrossoverPoints - The number of cross-overs performed on the two parents.

rng - A source of randomness used to determine the location of cross-over points.

Returns:

A list containing two evolved offspring.