public final class MeanAlterer<G extends Gene<?,G> & Mean<G>> extends Recombinator<G> implements Immutable
The order (Recombinator.getOrder()
) of this Recombination implementation is two.
_probability, DEFAULT_ALTER_PROBABILITY
Constructor and Description |
---|
MeanAlterer()
Create a new alterer with alter probability of
0.05 . |
MeanAlterer(double probability)
Constructs an alterer with a given recombination probability.
|
Modifier and Type | Method and Description |
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boolean |
equals(Object obj) |
int |
hashCode() |
protected <C extends Comparable<? super C>> |
recombine(Population<G,C> population,
int[] individuals,
int generation)
Recombination template method.
|
String |
toString() |
alter, getOrder
getProbability, Null
public MeanAlterer(double probability)
probability
- the crossover probability.IllegalArgumentException
- if the probability
is not in the
valid range of [0, 1]
.public MeanAlterer()
0.05
.protected <C extends Comparable<? super C>> int recombine(Population<G,C> population, int[] individuals, int generation)
Recombinator
recombine
in class Recombinator<G extends Gene<?,G> & Mean<G>>
C
- the fitness result typepopulation
- the population to recombineindividuals
- the array with the indexes of the individuals which
are involved in the recombination step. The length of the
array is Recombinator.getOrder()
. The first individual is the
primary individual.generation
- the current generation.public int hashCode()
© 2007-2014 Franz Wilhelmstötter (2014-03-07 19:35)