org.vizzini.example.ant
Class Ant

java.lang.Object
  org.vizzini.ai.geneticalgorithm.AbstractGeneticAlgorithm
      org.vizzini.ai.geneticprogramming.AbstractGeneticAlgorithmGP
          org.vizzini.example.ant.Ant

All Implemented Interfaces:

IGeneticAlgorithm, IGeneticAlgorithmGP

public class Ant
extends AbstractGeneticAlgorithmGP

Provides an example ant problem using genetic programming.

Since:

v0.3

Version:

v0.3

Author:

Jeffrey M. Thompson

Field Summary

static String	HEADING_EAST Enumeration of ant heading East.
static String	HEADING_NORTH Enumeration of ant heading North.
static String	HEADING_SOUTH Enumeration of ant heading South.
static String	HEADING_WEST Enumeration of ant heading West.

Fields inherited from class org.vizzini.ai.geneticalgorithm.AbstractGeneticAlgorithm

_crossoverFraction, _crossoverType, _elapsedTime, _generation

Constructor Summary

Ant()
Construct this object.

Method Summary

protected int	evaluateFitness(int index, IChromosomeGP chromosome, boolean isPrinting) Evaluate the fitness of the given chromosome for this problem.
protected int	getPerfectFitness() Return the perfect fitness.
protected Class	getReturnType() Return the overall return type for the chromosomes.
static void	main(String[] args) Application method.
static void	main2(String[] args) Application method.

Methods inherited from class org.vizzini.ai.geneticprogramming.AbstractGeneticAlgorithmGP

addFunction, addTerminal, createChromosome, evaluateFitness, getContext, getFunctionCount, getFunctionGenerator, getInitialMaxDepth, getTerminalCount, isSimpleBetter, onePointCrossover, penalizeComplexity, setContext, setInitialMaxDepth, setSimpleBetter

Methods inherited from class org.vizzini.ai.geneticalgorithm.AbstractGeneticAlgorithm

averageCrossover, fillPopulation, generateNewPopulation, getAverageCrossoverFraction, getCrossoverFraction, getCrossoverType, getElapsedTime, getGeneration, getMostFit, getMutationFraction, getMutationMagnitude, getMutationRate, getPopulation, getPopulationSize, getProcessingRate, isDuplicateAllowed, mutation, reproductionAndCrossover, reset, runGenerations, setAverageCrossoverFraction, setCrossoverFraction, setCrossoverType, setDuplicateAllowed, setMutationFraction, setMutationMagnitude, setMutationRate, setPopulation, setPopulationSize, sortPopulation, toString, uniformCrossover, writeReport, writeStats, writeStatsHeader

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.vizzini.ai.geneticalgorithm.IGeneticAlgorithm

getCrossoverFraction, getCrossoverType, getElapsedTime, getGeneration, getMostFit, getMutationFraction, getMutationMagnitude, getMutationRate, getPopulationSize, getProcessingRate, reset, runGenerations, setAverageCrossoverFraction, setCrossoverFraction, setCrossoverType, setDuplicateAllowed, setMutationFraction, setMutationMagnitude, setMutationRate, setPopulationSize, writeReport

Field Detail

HEADING_EAST

public static final String HEADING_EAST

Enumeration of ant heading East.

See Also:

Constant Field Values

HEADING_SOUTH

public static final String HEADING_SOUTH

Enumeration of ant heading South.

See Also:

Constant Field Values

HEADING_WEST

public static final String HEADING_WEST

Enumeration of ant heading West.

See Also:

Constant Field Values

HEADING_NORTH

public static final String HEADING_NORTH

Enumeration of ant heading North.

See Also:

Constant Field Values

Constructor Detail

Ant

public Ant()

Construct this object.

Since:

v0.3

Method Detail

main

public static final void main(String[] args)

Application method.

Parameters:

args - Input arguments.

Since:

v0.3

main2

public static final void main2(String[] args)

Application method.

Parameters:

args - Input arguments.

Since:

v0.3

evaluateFitness

protected int evaluateFitness(int index,
                              IChromosomeGP chromosome,
                              boolean isPrinting)

Evaluate the fitness of the given chromosome for this problem.

Specified by:

evaluateFitness in class AbstractGeneticAlgorithmGP

Parameters:

chromosome - Chromosome.

isPrinting - Flag indicating if the method should print.

Since:

v0.3

getPerfectFitness

protected int getPerfectFitness()

Return the perfect fitness.

Overrides:

getPerfectFitness in class AbstractGeneticAlgorithm

Since:

v0.3

getReturnType

protected Class getReturnType()

Return the overall return type for the chromosomes.

Specified by:

getReturnType in class AbstractGeneticAlgorithmGP

Since:

v0.3