Module io.jenetics.base
Package io.jenetics
Class Crossover<G extends Gene<?,G>,C extends Comparable<? super C>>
java.lang.Object
io.jenetics.AbstractAlterer<G,C>
io.jenetics.Recombinator<G,C>
io.jenetics.Crossover<G,C>
- Type Parameters:
G
- the gene type.
- All Implemented Interfaces:
Alterer<G,
C>
- Direct Known Subclasses:
IntermediateCrossover
,LineCrossover
,MultiPointCrossover
,PartiallyMatchedCrossover
,SimulatedBinaryCrossover
,UniformCrossover
,UniformOderBasedCrossover
public abstract class Crossover<G extends Gene<?,G>,C extends Comparable<? super C>>
extends Recombinator<G,C>
Performs a
Crossover of two Chromosome
. This crossover implementation can
handle genotypes with different length (different number of chromosomes). It
is guaranteed that chromosomes with the the same (genotype) index are chosen
for crossover.
The order (Recombinator.order()
) of this Recombination implementation is two.
- Since:
- 1.0
- Version:
- 4.0
-
Field Summary
Fields inherited from class io.jenetics.AbstractAlterer
_probability
Fields inherited from interface io.jenetics.Alterer
DEFAULT_ALTER_PROBABILITY
-
Constructor Summary
ModifierConstructorDescriptionprotected
Crossover
(double probability) Constructs an alterer with a given recombination probability. -
Method Summary
Methods inherited from class io.jenetics.Recombinator
alter, order
Methods inherited from class io.jenetics.AbstractAlterer
probability
-
Constructor Details
-
Crossover
Constructs an alterer with a given recombination probability.- Parameters:
probability
- the recombination probability- Throws:
IllegalArgumentException
- if theprobability
is not in the valid range of[0, 1]
-
-
Method Details
-
recombine
Description copied from class:Recombinator
Recombination template method. This method is called 0 to n times. It is guaranteed that this method is only called by one thread.- Specified by:
recombine
in classRecombinator<G extends Gene<?,
G>, C extends Comparable<? super C>> - Parameters:
population
- the population to recombineindividuals
- the array with the indexes of the individuals which are involved in the recombination step. The length of the array isRecombinator.order()
. The first individual is the primary individual.generation
- the current generation.- Returns:
- the number of genes that has been altered.
-
crossover
Template method which performs the crossover. The arguments given are mutable non-null arrays of the same length.- Parameters:
that
- the genes of the first chromosomeother
- the genes of the other chromosome- Returns:
- the number of altered genes
-