org.vizzini.ai.geneticprogramming.example
Class SymbolicRegression

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

All Implemented Interfaces:

IGeneticAlgorithm, IGeneticAlgorithmGP

public class SymbolicRegression
extends AbstractGeneticAlgorithmGP

Provides an example symbolic regression problem using genetic programming.

Since:

v0.3

Version:

v0.3

Author:

Jeffrey M. Thompson

Field Summary

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

_crossoverFraction, _crossoverType, _elapsedTime, _generation

Constructor Summary

SymbolicRegression()
Construct this object.

Method Summary

protected double	calculate(double x) Calculate the value of the target function, in this case x^4 + x^3 + x^2 + x.
protected IFitnessCase	createFitnessCase(double x) Create a fitness case for the given value of x.
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.

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

Constructor Detail

SymbolicRegression

public SymbolicRegression()

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

calculate

protected double calculate(double x)

Calculate the value of the target function, in this case x^4 + x^3 + x^2 + x.

Parameters:

x - Input value.

Since:

v0.3

createFitnessCase

protected IFitnessCase createFitnessCase(double x)

Create a fitness case for the given value of x.

Parameters:

x - Input value.

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