examples.monalisa.core
Class PolygonMutationOperator

java.lang.Object
  org.jgap.BaseGeneticOperator
      org.jgap.impl.MutationOperator
          examples.monalisa.core.PolygonMutationOperator

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable, Configurable, GeneticOperator

public class PolygonMutationOperator
extends MutationOperator

Translates a polygon of each chromosome in a random direction.

Since:

3.4

See Also:

Serialized Form

Field Summary

Fields inherited from class org.jgap.BaseGeneticOperator

m_monitor, m_monitorActive

Constructor Summary

PolygonMutationOperator(Configuration a_config, int a_desiredMutationRate)

Method Summary

void	operate(Population a_population, java.util.List a_candidateChromosomes) The operate method will be invoked on each of the genetic operators referenced by the current Configuration object during the evolution phase.

Methods inherited from class org.jgap.impl.MutationOperator

compareTo, equals, getMutationRate, getMutationRateCalc, setMutationRate, setMutationRateCalc

Methods inherited from class org.jgap.BaseGeneticOperator

getConfiguration

Methods inherited from class java.lang.Object

clone, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PolygonMutationOperator

public PolygonMutationOperator(Configuration a_config,
                               int a_desiredMutationRate)
                        throws InvalidConfigurationException

Throws:

InvalidConfigurationException

Method Detail

operate

public void operate(Population a_population,
                    java.util.List a_candidateChromosomes)

Description copied from interface: GeneticOperator

The operate method will be invoked on each of the genetic operators referenced by the current Configuration object during the evolution phase. Operators are given an opportunity to run in the order that they are added to the Configuration. Implementations of this method may reference the population of Chromosomes as it was at the beginning of the evolutionary phase and/or they may instead reference the candidate Chromosomes, which are the results of prior genetic operators. In either case, only Chromosomes added to the list of candidate chromosomes will be considered for natural selection. The parameters a_population and a_candidateChromosomes may refer to the same list of chromosomes for performance issues. Thus would mean an in-place modification. In ealier JGAP versions it was suggested never modifying the input population. Please refer to implementations delivered with JGAP to get a picture of the way non-susceptible in-place modifications are possible. If wrongly done, ConcurrentModificationException could be risen when accessing the population by an iterator in a GeneticOperator. Or, if population.getChromosomes().size() was used inside a loop where chromosomes were added to the input population this could lead to an infinite loop in worst case.

Specified by:

operate in interface GeneticOperator

Overrides:

operate in class MutationOperator

Parameters:

a_population - the population of chromosomes from the current evolution prior to exposure to any genetic operators. Chromosomes in this array should not be modified. Please notice, that the call in Genotype.evolve() to the implementations of GeneticOperator overgoes this due to performance issues

a_candidateChromosomes - the pool of chromosomes that have been mutated