T - generic type of the AbstractListChromosomes for crossoverpublic class UniformCrossover<T> extends Object implements CrossoverPolicy
This crossover policy evaluates each gene of the parent chromosomes by chosing a
uniform random number p in the range [0, 1]. If p < ratio,
the parent genes are swapped. This means with a ratio of 0.7, 30% of the genes from the
first parent and 70% from the second parent will be selected for the first offspring (and
vice versa for the second offspring).
This policy works only on AbstractListChromosome, and therefore it
is parameterized by T. Moreover, the chromosomes must have same lengths.
| Constructor and Description |
|---|
UniformCrossover(double ratio)
Creates a new
UniformCrossover policy using the given mixing ratio. |
| Modifier and Type | Method and Description |
|---|---|
ChromosomePair |
crossover(Chromosome first,
Chromosome second)
Perform a crossover operation on the given chromosomes.
|
double |
getRatio()
Returns the mixing ratio used by this
CrossoverPolicy. |
public UniformCrossover(double ratio)
throws OutOfRangeException
UniformCrossover policy using the given mixing ratio.ratio - the mixing ratioOutOfRangeException - if the mixing ratio is outside the [0, 1] rangepublic double getRatio()
CrossoverPolicy.public ChromosomePair crossover(Chromosome first, Chromosome second) throws DimensionMismatchException, MathIllegalArgumentException
crossover in interface CrossoverPolicyfirst - the first chromosome.second - the second chromosome.MathIllegalArgumentException - iff one of the chromosomes is
not an instance of AbstractListChromosomeDimensionMismatchException - if the length of the two chromosomes is differentCopyright © 2003–2016 The Apache Software Foundation. All rights reserved.