net.sourceforge.cilib.functions.continuous.dynamic.moo.fda1
Class FDA1_h

java.lang.Object
  net.sourceforge.cilib.functions.Function
      net.sourceforge.cilib.functions.ContinuousFunction
          net.sourceforge.cilib.functions.continuous.dynamic.moo.fda1.FDA1_h

All Implemented Interfaces:

Serializable, Cloneable

public class FDA1_h
extends ContinuousFunction

This function is the h function of the FDA1 problem defined on page 428 in the following paper: M.Farina, K.Deb, P.Amato. Dynamic multiobjective optimization problems: test cases, approximations and applications, IEEE Transactions on Evolutionary Computation, 8(5): 425-442, 2003

Author:

Marde Greeff

See Also:

Serialized Form

Constructor Summary

FDA1_h()
Default constructor

FDA1_h(FDA1_h copy)
Copy constructor

Method Summary

double	evaluate(Vector x) Evaluates the function h(f_1, g) = 1-sqrt(f_1/g)
FDA1_h	getClone() Return a clone
FunctionMinimisationProblem	getFDA1_f_problem() returns the problem used to set the f1 function
ContinuousFunction	getFDA1_f() Gets the f1 function that is used in the FDA1 problem
FunctionMinimisationProblem	getFDA1_g_problem() returns the problem used to set the g function
ContinuousFunction	getFDA1_g() Returns the g function that is used in the FDA1 problem
void	setFDA1_f(ContinuousFunction fda1_f1) Sets the f1 function that is used in the FDA1 problem
void	setFDA1_f(FunctionMinimisationProblem problem) Sets the f1 function that is used in FDA1 problem
void	setFDA1_g(ContinuousFunction fda1_g) Sets the g function that is used in the FDA1 problem
void	setFDA1_g(FunctionMinimisationProblem problem) Sets the g function that is used in FDA1 problem

Methods inherited from class net.sourceforge.cilib.functions.ContinuousFunction

evaluate, getMaximum, getMinimum

Methods inherited from class net.sourceforge.cilib.functions.Function

getBehavioralDomainRegistry, getDimension, getDomain, getDomainRegistry, setBehavioralDomain, setBehaviouralDomainRegistry, setDomain

Methods inherited from class java.lang.Object

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

Constructor Detail

FDA1_h

public FDA1_h()

Default constructor

FDA1_h

public FDA1_h(FDA1_h copy)

Copy constructor

Method Detail

getClone

public FDA1_h getClone()

Return a clone

Specified by:

getClone in interface Cloneable

Specified by:

getClone in class ContinuousFunction

Returns:

An exact clone of the current object instance.

See Also:

Object.clone()

setFDA1_g

public void setFDA1_g(FunctionMinimisationProblem problem)

Sets the g function that is used in FDA1 problem

Parameters:

problem -

getFDA1_g_problem

public FunctionMinimisationProblem getFDA1_g_problem()

returns the problem used to set the g function

Returns:

setFDA1_g

public void setFDA1_g(ContinuousFunction fda1_g)

Sets the g function that is used in the FDA1 problem

Parameters:

fda1_g -

getFDA1_g

public ContinuousFunction getFDA1_g()

Returns the g function that is used in the FDA1 problem

Returns:

setFDA1_f

public void setFDA1_f(FunctionMinimisationProblem problem)

Sets the f1 function that is used in FDA1 problem

Parameters:

problem -

getFDA1_f_problem

public FunctionMinimisationProblem getFDA1_f_problem()

returns the problem used to set the f1 function

Returns:

setFDA1_f

public void setFDA1_f(ContinuousFunction fda1_f1)

Sets the f1 function that is used in the FDA1 problem

Parameters:

fda1_f1 -

getFDA1_f

public ContinuousFunction getFDA1_f()

Gets the f1 function that is used in the FDA1 problem

Returns:

evaluate

public double evaluate(Vector x)

Evaluates the function h(f_1, g) = 1-sqrt(f_1/g)

Specified by:

evaluate in class ContinuousFunction

Parameters:

x - The input Vector.

Returns:

The value of the evaluation.