org.vizzini.example.tictactoe
Class TicTacToeGeneticAlgorithm

java.lang.Object
  org.vizzini.ai.geneticalgorithm.AbstractGeneticAlgorithm
      org.vizzini.game.boardgame.AbstractGameGeneticAlgorithm
          org.vizzini.example.tictactoe.TicTacToeGeneticAlgorithm

All Implemented Interfaces:

IGameGeneticAlgorithm, IGeneticAlgorithm

public class TicTacToeGeneticAlgorithm
extends AbstractGameGeneticAlgorithm

Provides a game genetic algorithm for tic-tac-toe. This algorithm breeds neural network evaluators using game agent competition.

Since:

v0.1

Version:

v0.3

Author:

Jeffrey M. Thompson

Field Summary

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

_crossoverFraction, _crossoverType, _elapsedTime, _generation

Constructor Summary

TicTacToeGeneticAlgorithm(boolean isBoardPrinted)
Construct this object using the given parameters.

Method Summary

protected IComputerAgent	createAgent0() Create agent 0.
protected IComputerAgent	createAgent1() Create agent 1.
protected IChromosome	createChromosome() Create a new chromosome.
protected INeuralNetwork	createNeuralNetworkExemplar() Fill the population with random chromosomes.
protected void	fillPopulation() Fill the population with random chromosomes.
protected String	getGamePropertiesPath() Return the game properties path.
protected String	getNeuralNetworkFilepath() Return the neural network filepath.
static void	main(String[] args) Application method.

Methods inherited from class org.vizzini.game.boardgame.AbstractGameGeneticAlgorithm

configureAgent, createGame, evaluateFitness, getFitnessLoss, getFitnessTie, getFitnessWin, getGame, getMaxOpponentCount, isVerbose, rewardAndPunish, setAgent0, setAgent1, setFitnessLoss, setFitnessTie, setFitnessWin, setGame, setTurnNumberConsidered, setVerbose, toString, zeroCounts

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

averageCrossover, generateNewPopulation, getAverageCrossoverFraction, getCrossoverFraction, getCrossoverType, getElapsedTime, getGeneration, getMostFit, getMutationFraction, getMutationMagnitude, getMutationRate, getPerfectFitness, getPopulation, getPopulationSize, getProcessingRate, isDuplicateAllowed, mutation, onePointCrossover, reproductionAndCrossover, reset, runGenerations, setAverageCrossoverFraction, setCrossoverFraction, setCrossoverType, setDuplicateAllowed, setMutationFraction, setMutationMagnitude, setMutationRate, setPopulation, setPopulationSize, sortPopulation, 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

TicTacToeGeneticAlgorithm

public TicTacToeGeneticAlgorithm(boolean isBoardPrinted)
                          throws InstantiationException,
                                 IllegalAccessException

Construct this object using the given parameters.

Parameters:

isBoardPrinted - Flag indicating whether to print the board when triggered by state changes.

Throws:

InstantiationException

IllegalAccessException

Since:

v0.1

Method Detail

main

public static void main(String[] args)
                 throws Exception

Application method.

Parameters:

args - 0-population size (optional)
1-number of generations to run (optional)
2-print frequency (optional)

Throws:

Exception

Since:

v0.1

createAgent0

protected IComputerAgent createAgent0()

Create agent 0.

Specified by:

createAgent0 in class AbstractGameGeneticAlgorithm

Since:

v0.1

createAgent1

protected IComputerAgent createAgent1()

Create agent 1.

Specified by:

createAgent1 in class AbstractGameGeneticAlgorithm

Since:

v0.1

createChromosome

protected IChromosome createChromosome()

Create a new chromosome.

Specified by:

createChromosome in class AbstractGeneticAlgorithm

Since:

v0.2

createNeuralNetworkExemplar

protected INeuralNetwork createNeuralNetworkExemplar()

Fill the population with random chromosomes.

Since:

v0.1

fillPopulation

protected void fillPopulation()

Fill the population with random chromosomes.

Overrides:

fillPopulation in class AbstractGeneticAlgorithm

Since:

v0.1

getGamePropertiesPath

protected String getGamePropertiesPath()

Return the game properties path.

Specified by:

getGamePropertiesPath in class AbstractGameGeneticAlgorithm

Since:

v0.1

getNeuralNetworkFilepath

protected String getNeuralNetworkFilepath()

Return the neural network filepath.

Since:

v0.1