jcgp.backend.modules.es

Class MuPlusLambda

java.lang.Object

jcgp.backend.modules.Module

jcgp.backend.modules.es.EvolutionaryStrategy

jcgp.backend.modules.es.MuPlusLambda

public class MuPlusLambda
extends EvolutionaryStrategy

(μ + λ)-ES

This strategy selects the μ fittest chromosomes from the population. The promoted individuals are copied into the new population and mutated λ times, but also carried forward unchanged. The total population size is μ + λ.

Two integer parameters are used to control this strategy: parents and offspring. They are constrained in that they must always add up to the population size, and must never be smaller than 1.
One additional parameter, report, controls whether a detailed log of the algorithm's operation is to be printed or not. Reports respect the report interval base parameter.

Author:

Eduardo Pedroni

See Also:

EvolutionaryStrategy

Constructor Summary

Constructors

Constructor and Description
MuPlusLambda(Resources resources) Creates a new instance of MuPlusLambda.

Method Summary

Modifier and Type	Method and Description
void	evolve(Population population, Mutator mutator) Performs the selection algorithm and uses the mutator to create the next generation of solutions.

Methods inherited from class jcgp.backend.modules.Module

getLocalParameters, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

MuPlusLambda

public MuPlusLambda(Resources resources)

Creates a new instance of MuPlusLambda.

Parameters:

resources - a reference to the experiment's resources.

Method Detail

evolve

public void evolve(Population population,
                   Mutator mutator)

Description copied from class: EvolutionaryStrategy

Performs the selection algorithm and uses the mutator to create the next generation of solutions.

Specified by:

evolve in class EvolutionaryStrategy

Parameters:

population - the population to evolve.

mutator - the mutator with which to mutate the promoted individuals.