public abstract class Recombinator<G extends Gene<?,G>,C extends Comparable<? super C>> extends AbstractAlterer<G,C>
An enhanced genetic algorithm (EGA) combine elements of existing solutions in order to create a new solution, with some of the properties of each parent. Recombination creates a new chromosome by combining parts of two (or more) parent chromosomes. This combination of chromosomes can be made by selecting one or more crossover points, splitting these chromosomes on the selected points, and merge those portions of different chromosomes to form new ones.
The recombination probability P(r) determines the probability that a
given individual (genotype, not gene) of a population is selected for
recombination. The (mean) number of changed individuals depend on the
concrete implementation and can be vary from
OR is the order of the recombination, which is the number
of individuals involved int the
recombine(io.jenetics.util.MSeq<io.jenetics.Phenotype<G, C>>, int, long) method.
|Modifier||Constructor and Description|
Constructs an alterer with a given recombination probability.
|Modifier and Type||Method and Description|
Alters (recombine) a given population.
Return the number of individuals involved in the
Recombination template method.
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
protected Recombinator(double probability, int order)
public int getOrder()
recombine(MSeq, int, long)step.
populationis empty, nothing is altered. The altered population is part of the returned
population- The Population to be altered. If the
nullor empty, nothing is altered.
generation- the date of birth (generation) of the altered phenotypes.
protected abstract int recombine(MSeq<Phenotype<G,C>> population, int individuals, long generation)
population- the population to recombine
individuals- the array with the indexes of the individuals which are involved in the recombination step. The length of the array is
getOrder(). The first individual is the primary individual.
generation- the current generation.
© 2007-2019 Franz Wilhelmstötter (2019-11-18 20:30)