jaga.control
Interface InteractionModel

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

JobInterviewIM, NoisyPIM, StandardInteractionModel, NoisyIM, ShellIM

public interface InteractionModel

extends java.io.Serializable

Used to control and manage flow of information between Genotypes produced by the Evolve class, the inputs & fitnesses produced by the Experiment and the outputs produced by the Deployment.

Multiple Evolve and Experiment classes are allowed so single evolution or co-evolution strategies with abritrary interactions can be implemented.

Method Summary

double[]	evaluate(Genotype[] inds) Evaluates these individuals using the deployment and experiments and procedure of this model.
double[]	evaluateNext() Should be same as calling evaluate( pickIndividuals() );
int	evaluationsPerGeneration()
void	evolve() Evolves to the next generation of all/some of the populations involved.
Genotype	getMaxFitness()
Genotype[]	getNextIndividuals() Picks a number of individuals to be evaluated next.
int	getNumEvolvers()
Population[]	getPopulations()
islandev.SnapshotPainter	getSnapshotPainter()
Genotype[]	pickIndividuals()
void	setPopulations(Population[] pops) Sets the populations of the evolvers to be these

Method Detail

evaluationsPerGeneration

public int evaluationsPerGeneration()

Returns:

the number of evaluations per generation to be performed

getNextIndividuals

public Genotype[] getNextIndividuals()

Picks a number of individuals to be evaluated next. These individuals can be from any of the populations as long as there is a standard interface between the caller and this method implementation as to where each come from. Example: may be first element a pac-man, and five others all ghosts..

evaluate

public double[] evaluate(Genotype[] inds)

Evaluates these individuals using the deployment and experiments and procedure of this model.

Returns:

an array of the fitnesses of the individuals.

evaluateNext

public double[] evaluateNext()

Should be same as calling evaluate( pickIndividuals() );

Returns:

an array of the fitnesses of the individuals.

evolve

public void evolve()

Evolves to the next generation of all/some of the populations involved.

getNumEvolvers

public int getNumEvolvers()

Returns:

the number of evolvers (ie. populations) acting in this model.

pickIndividuals

public Genotype[] pickIndividuals()

Returns:

randomly picked individuals from the evolvers.

getPopulations

public Population[] getPopulations()

Returns:

the current populations of the evolvers.

getSnapshotPainter

public islandev.SnapshotPainter getSnapshotPainter()

Returns:

String displaying performance of fittest individual.

getMaxFitness

public Genotype getMaxFitness()

Returns:

A Genotype with the maximum fitness a genotype can achieve (ie. when evolution will stop). This may have fitness and properties too.

setPopulations

public void setPopulations(Population[] pops)

Sets the populations of the evolvers to be these