net.sourceforge.cilib.problem
Class FunctionMaximisationProblem

java.lang.Object
  net.sourceforge.cilib.problem.OptimisationProblemAdapter
      net.sourceforge.cilib.problem.FunctionOptimisationProblem
          net.sourceforge.cilib.problem.FunctionMaximisationProblem

All Implemented Interfaces:

Serializable, OptimisationProblem, Problem, Cloneable

Direct Known Subclasses:

DeratingFunctionMaximisationProblem

public class FunctionMaximisationProblem
extends FunctionOptimisationProblem

See Also:

Serialized Form

Field Summary

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

function

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

dataSetBuilder, fitnessEvaluations

Constructor Summary

FunctionMaximisationProblem()

FunctionMaximisationProblem(FunctionMaximisationProblem copy)

Method Summary

protected Fitness	calculateFitness(Type solution) Determine the Fitness of the current Problem instance based on the provided solution.
FunctionMaximisationProblem	getClone() Create a cloned copy of the current object and return it.
double	getError(Type solution) Returns the error for the given solution.

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

accept, getBehaviouralDomain, getDomain, getFunction, setFunction

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

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

FunctionMaximisationProblem

public FunctionMaximisationProblem()

FunctionMaximisationProblem

public FunctionMaximisationProblem(FunctionMaximisationProblem copy)

Method Detail

getClone

public FunctionMaximisationProblem 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 FunctionOptimisationProblem

Returns:

An exact clone of the current object instance.

See Also:

Object.clone()

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)

getError

public double getError(Type solution)

Returns the error for the given solution. That is, a lower error value is returned if the given solution is a better maximiser for the function.

The lowest possible error (corresponding to the best solution) should be 0. However, if the function incorrectly reports its maximum value then it is possible for error values to be negative.

Specified by:

getError in class FunctionOptimisationProblem

Parameters:

solution - The solution for which an error is saught.

Returns:

The error.