org.vizzini.ai.geneticalgorithm.example
Class CharacterRecognitionGA

java.lang.Object
  org.vizzini.ai.geneticalgorithm.AbstractGeneticAlgorithm
      org.vizzini.ai.geneticalgorithm.example.CharacterRecognitionGA

All Implemented Interfaces:

IGeneticAlgorithm

public class CharacterRecognitionGA
extends AbstractGeneticAlgorithm

Provides an example genetic algorithm which searches for a neural network which can identify seven digitized characters. This example excercises the ChromosomeNeuralNetwork and AbstractGeneticAlgorithm.

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

CharacterRecognitionGA()

Method Summary

protected static String	arrayToString(double[] array)
protected IChromosome	createChromosome() Create a new chromosome.
protected void	evaluateFitness() Evaluate the fitness of all chromosomes in the population.
protected int	evaluateNetwork(INeuralNetwork network, double[] inputs, int target, boolean isPrinting) Evaluate the given neural network using the given inputs and target.
protected int	getPerfectFitness() Return the perfect fitness.
static void	main(String[] args) Application method.

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, onePointCrossover, 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

Constructor Detail

CharacterRecognitionGA

public CharacterRecognitionGA()

Method Detail

main

public static final void main(String[] args)

Application method.

Since:

v0.3

arrayToString

protected static String arrayToString(double[] array)

createChromosome

protected IChromosome createChromosome()

Create a new chromosome.

Specified by:

createChromosome in class AbstractGeneticAlgorithm

Since:

v0.3

evaluateFitness

protected void evaluateFitness()

Evaluate the fitness of all chromosomes in the population.

Specified by:

evaluateFitness in class AbstractGeneticAlgorithm

Since:

v0.3

evaluateNetwork

protected int evaluateNetwork(INeuralNetwork network,
                              double[] inputs,
                              int target,
                              boolean isPrinting)

Evaluate the given neural network using the given inputs and target.

Since:

v0.3

getPerfectFitness

protected int getPerfectFitness()

Return the perfect fitness.

Overrides:

getPerfectFitness in class AbstractGeneticAlgorithm

Since:

v0.3