net.sourceforge.cilib.problem.coevolution
Class GameLearningOptimizationProblem

java.lang.Object
  net.sourceforge.cilib.problem.OptimisationProblemAdapter
      net.sourceforge.cilib.problem.coevolution.PerformanceEvaluationOptimizationProblem
          net.sourceforge.cilib.problem.coevolution.GameLearningOptimizationProblem

All Implemented Interfaces:

Serializable, OptimisationProblem, Problem, Cloneable

Direct Known Subclasses:

CompetitiveCoevolutionGameLearningOptimizationProblem

public class GameLearningOptimizationProblem
extends PerformanceEvaluationOptimizationProblem

Optimize either a single player game or a game against hand coded opponents

Author:

leo

See Also:

Serialized Form

Field Summary

protected Game

game

Fields inherited from class net.sourceforge.cilib.problem.coevolution.PerformanceEvaluationOptimizationProblem

fitnessCalculation, numberOfEvaluations

Fields inherited from class net.sourceforge.cilib.problem.OptimisationProblemAdapter

dataSetBuilder, fitnessEvaluations

Constructor Summary

GameLearningOptimizationProblem()

GameLearningOptimizationProblem(GameLearningOptimizationProblem copy)
Copy constructor

Method Summary

protected Fitness	calculateFitness(Type solution) Determine the Fitness of the current Problem instance based on the provided solution.
DomainRegistry	getBehaviouralDomain() Returns the domain component that describes the search space of the needed behavioral characteristics of the problem.
OptimisationProblemAdapter	getClone() Create a cloned copy of the current object and return it.
DomainRegistry	getDomain() Returns the domain component that describes the search space for this problem.
Game	getGame()
void	playGame(int currentPlayerID, EntityScore currentScore) This method should be called after all the players have been initialized for this game the required amount of games are played and the scores are stored
void	setGame(Game game)

Methods inherited from class net.sourceforge.cilib.problem.coevolution.PerformanceEvaluationOptimizationProblem

getNumberOfEvaluations, setFitnessCalculation, setNumberOfEvaluations

Methods inherited from class net.sourceforge.cilib.problem.OptimisationProblemAdapter

accept, changeEnvironment, getChangeStrategy, getDataSetBuilder, getFitness, getFitnessEvaluations, setChangeStrategy, setDataSetBuilder

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

game

protected Game game

Constructor Detail

GameLearningOptimizationProblem

public GameLearningOptimizationProblem()

GameLearningOptimizationProblem

public GameLearningOptimizationProblem(GameLearningOptimizationProblem copy)

Copy constructor

Parameters:

copy -

Method Detail

getClone

public OptimisationProblemAdapter getClone()

Create a cloned copy of the current object and return it. In general the created copy will be a deep copy of the provided instance. As a result this operation an be quite expensive if used incorrectly.

Specified by:

getClone in interface OptimisationProblem

Specified by:

getClone in interface Problem

Specified by:

getClone in interface Cloneable

Specified by:

getClone in class OptimisationProblemAdapter

Returns:

An exact clone of the current object instance.

See Also:

Object.clone()

getBehaviouralDomain

public DomainRegistry getBehaviouralDomain()

Returns the domain component that describes the search space of the needed behavioral characteristics of the problem. This is mainly used for ECs, however, the use of behavioral parameters with PSO will be investigated.

Returns:

The domain of the behavioral component

getDomain

public DomainRegistry getDomain()

Returns the domain component that describes the search space for this problem.

Returns:

A DomainRegistry object representing the search space.

playGame

public void playGame(int currentPlayerID,
                     EntityScore currentScore)

This method should be called after all the players have been initialized for this game the required amount of games are played and the scores are stored

Parameters:

currentPlayerID - the id of the player being optimized

currentScore - the score's

calculateFitness

protected Fitness calculateFitness(Type solution)

Determine the Fitness of the current Problem instance based on the provided solution.

Specified by:

calculateFitness in class OptimisationProblemAdapter

Parameters:

solution - The Type representing the candidate solution.

Returns:

The Fitness of the solution in the current Problem.

See Also:

OptimisationProblemAdapter.getFitness(Type, boolean)

setGame

public void setGame(Game game)

getGame

public Game getGame()