net.sourceforge.cilib.functions.discrete
Class KnightCoverageProblem

java.lang.Object
  net.sourceforge.cilib.problem.OptimisationProblemAdapter
      net.sourceforge.cilib.functions.discrete.KnightCoverageProblem

All Implemented Interfaces:

Serializable, OptimisationProblem, Problem, Cloneable

Deprecated.

@Deprecated
public class KnightCoverageProblem
extends OptimisationProblemAdapter

Author:

otter Problem description : place the minimun amount of knights on a standard 8 by 8 square board, such that every block is covered by a valid move. This problem is an OptimisationProblem and thus based on the OptimisationProblem interface

See Also:

Serialized Form

Field Summary

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

dataSetBuilder, fitnessEvaluations

Constructor Summary

KnightCoverageProblem(KnightCoverageProblem copy)
Deprecated.

Method Summary

protected Fitness	calculateFitness(Type solution) Deprecated. Returns the fitness of a potential solution to this problem.
DomainRegistry	getBehaviouralDomain() Deprecated. Returns the domain component that describes the search space of the needed behavioral characteristics of the problem.
KnightCoverageProblem	getClone() Deprecated. Create a cloned copy of the current object and return it.
DomainRegistry	getDomain() Deprecated. Returns the domain component that describes the search space for this problem.
void	setDomain(String representation) Deprecated. Sets the domain of the function.

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

Constructor Detail

KnightCoverageProblem

public KnightCoverageProblem(KnightCoverageProblem copy)

Deprecated.

Method Detail

getClone

public KnightCoverageProblem getClone()

Deprecated.

Description copied from interface: OptimisationProblem

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()

calculateFitness

protected Fitness calculateFitness(Type solution)

Deprecated.

Returns the fitness of a potential solution to this problem. The solution object is described by the domain of this problem, see getDomain(). An instance of InferiorFitness should be returned if the solution falls outside the search space of this problem.

Specified by:

calculateFitness in class OptimisationProblemAdapter

Parameters:

solution - The potential solution found by the optimisation algorithm.

count - True if this call should contribute to the fitness evaluation count, see OptimisationProblemAdapter.getFitnessEvaluations().

Returns:

The fitness of the solution.

See Also:

OptimisationProblemAdapter.getFitness(Type, boolean)

getDomain

public DomainRegistry getDomain()

Deprecated.

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

Returns:

A net.sourceforge.cilib.Domain.Component object representing the search space.

setDomain

public void setDomain(String representation)

Deprecated.

Sets the domain of the function. See net.sourceforge.cilib.Domain.Component.

Parameters:

representation - the string representation for the function domain.

getBehaviouralDomain

public DomainRegistry getBehaviouralDomain()

Deprecated.

Description copied from interface: OptimisationProblem

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