Uses of Interface
org.vizzini.ai.geneticalgorithm.IChromosome

Packages that use IChromosome

org.vizzini.ai.geneticalgorithm	Provides genetic algorithm classes for the game framework.
org.vizzini.ai.geneticalgorithm.example
org.vizzini.ai.geneticprogramming	Provides genetic programming classes for the game framework.
org.vizzini.example.tictactoe	Provides tic-tac-toe classes for the game framework.
org.vizzini.game.boardgame	Provides core game classes for board games in the game framework.

Uses of IChromosome in org.vizzini.ai.geneticalgorithm

Classes in org.vizzini.ai.geneticalgorithm that implement IChromosome

class	AbstractChromosome Provides base functionality for chromosomes for a genetic algorithm.
class	ChromosomeBoolean Provides a chromosome which contains boolean s.
class	ChromosomeDouble Provides a chromosome which contains double s.
class	ChromosomeInt Provides a chromosome which contains int s.
class	ChromosomeNeuralNetwork Provides a chromosome which contains DefaultNeuralNetwork s.

Methods in org.vizzini.ai.geneticalgorithm that return IChromosome

protected abstract IChromosome	AbstractGeneticAlgorithm.createChromosome() Create a new chromosome.
IChromosome	AbstractPopulation.first() Return the first chromosome.
IChromosome	IPopulation.first() Return the first chromosome.
IChromosome	AbstractPopulation.get(int i) Return the chromosome at the given index.
IChromosome	IPopulation.get(int i) Return the chromosome at the given index.
IChromosome	AbstractGeneticAlgorithm.getMostFit() Return the most fit chromosome.
IChromosome	IGeneticAlgorithm.getMostFit() Return the most fit chromosome.
IChromosome	FitnessProportionalSelector.selectNext() Select the next chromosome from the population.
IChromosome	ISelector.selectNext() Select the next chromosome from the population.
IChromosome	RandomSelector.selectNext() Select the next chromosome from the population.

Methods in org.vizzini.ai.geneticalgorithm with parameters of type IChromosome

void	AbstractPopulation.add(IChromosome chromosome) Add the given chromosome.
void	IPopulation.add(IChromosome chromosome) Add the given chromosome.
protected void	AbstractGeneticAlgorithm.averageCrossover(IChromosome c0, IChromosome c1, IChromosome c2, IChromosome c3) Perform uniform crossover using the first two given chromosomes into the third given chromosome.
boolean	AbstractPopulation.contains(IChromosome chromosome) Return true if the given chromosome is a duplicate of one already in the population.
boolean	IPopulation.contains(IChromosome chromosome) Return true if the given chromosome is a duplicate of one already in the population.
boolean	AbstractPopulation.contains(IChromosome chromosome, int start, int end) Return true if the given chromosome is a duplicate of one already in the given range of the population.
boolean	IPopulation.contains(IChromosome chromosome, int start, int end) Return true if the given chromosome is a duplicate of one already in the given range of the population.
void	AbstractChromosome.copy(IChromosome another) Copy the given chromosome into this.
void	ChromosomeBoolean.copy(IChromosome another) Copy the given chromosome into this.
void	ChromosomeDouble.copy(IChromosome another) Copy the given chromosome into this.
void	ChromosomeInt.copy(IChromosome another) Copy the given chromosome into this.
void	ChromosomeNeuralNetwork.copy(IChromosome another) Copy the given chromosome into this.
void	IChromosome.copy(IChromosome another) Copy the given chromosome into this.
int	AbstractPopulation.indexOf(IChromosome chromosome) Return the index of the given chromosome.
int	IPopulation.indexOf(IChromosome chromosome) Return the index of the given chromosome.
void	ChromosomeBoolean.mix(IChromosome c1, IChromosome c2, boolean[] mask) Mix the genes of the given chromosomes into this using the given mask.
void	ChromosomeDouble.mix(IChromosome c1, IChromosome c2, boolean[] mask) Mix the genes of the given chromosomes into this using the given mask.
void	ChromosomeInt.mix(IChromosome c1, IChromosome c2, boolean[] mask) Mix the genes of the given chromosomes into this using the given mask.
void	IChromosome.mix(IChromosome c1, IChromosome c2, boolean[] mask) Mix the genes of the given chromosomes into this using the given mask.
void	AbstractChromosome.mix(IChromosome c1, IChromosome c2, double fraction) Mix the genes of the given chromosomes into this using the given fraction.
void	ChromosomeDouble.mix(IChromosome c1, IChromosome c2, double fraction) Mix the genes of the given chromosomes into this using the given fraction.
void	IChromosome.mix(IChromosome c1, IChromosome c2, double fraction) Mix the genes of the given chromosomes into this using the given fraction.
protected void	AbstractGeneticAlgorithm.onePointCrossover(IChromosome c0, IChromosome c1, IChromosome c2, IChromosome c3) Perform one point crossover using the first two given chromosomes into the third given chromosome.
void	ChromosomeBoolean.splice(IChromosome c1, IChromosome c2, int cut) Splice the given chromosomes into this using the given cut index.
void	ChromosomeDouble.splice(IChromosome c1, IChromosome c2, int cut) Splice the given chromosomes into this using the given cut index.
void	ChromosomeInt.splice(IChromosome c1, IChromosome c2, int cut) Splice the given chromosomes into this using the given cut index.
void	IChromosome.splice(IChromosome c1, IChromosome c2, int cut) Splice the given chromosomes into this using the given cut index.
protected void	AbstractGeneticAlgorithm.uniformCrossover(IChromosome c0, IChromosome c1, IChromosome c2, IChromosome c3) Perform uniform crossover using the first two given chromosomes into the third given chromosome.

Uses of IChromosome in org.vizzini.ai.geneticalgorithm.example

Methods in org.vizzini.ai.geneticalgorithm.example that return IChromosome

protected IChromosome	CharacterRecognitionGA.createChromosome() Create a new chromosome.
protected IChromosome	PrimeGA.createChromosome() Create a new chromosome.

Uses of IChromosome in org.vizzini.ai.geneticprogramming

Subinterfaces of IChromosome in org.vizzini.ai.geneticprogramming

interface

IChromosomeGP Defines methods required by a chromosome in genetic programming.

Classes in org.vizzini.ai.geneticprogramming that implement IChromosome

class	AbstractChromosomeGP Provides base functionality for a chromosome in genetic programming.
class	DefaultChromosomeGP Provides a default implementation of a chromosome in genetic programming.

Methods in org.vizzini.ai.geneticprogramming that return IChromosome

protected IChromosome

AbstractGeneticAlgorithmGP.createChromosome() Create a new chromosome.

Methods in org.vizzini.ai.geneticprogramming with parameters of type IChromosome

void	AbstractChromosomeGP.mix(IChromosome c1, IChromosome c2, boolean[] mask) Mix the genes of the given chromosomes into this using the given mask.
protected void	AbstractGeneticAlgorithmGP.onePointCrossover(IChromosome c0_0, IChromosome c1_0, IChromosome c2_0, IChromosome c3_0) Perform one point crossover using the first two given chromosomes into the third given chromosome.
void	AbstractChromosomeGP.splice(IChromosome c1, IChromosome c2, int cut) Splice the given chromosomes into this using the given cut index.

Uses of IChromosome in org.vizzini.example.tictactoe

Methods in org.vizzini.example.tictactoe that return IChromosome

protected IChromosome

TicTacToeGeneticAlgorithm.createChromosome() Create a new chromosome.

Methods in org.vizzini.example.tictactoe with parameters of type IChromosome

protected void

TicTacToeGeneticAlgorithmGP.rewardAndPunish(IChromosome chromosome0, IChromosome chromosome1) Reward and punish the given chromosomes.

Uses of IChromosome in org.vizzini.game.boardgame

Methods in org.vizzini.game.boardgame with parameters of type IChromosome

protected void

AbstractGameGeneticAlgorithm.configureAgent(IComputerAgent agent, IChromosome chromosome) Configure the given agent for play.