net.sourceforge.cilib.functions.continuous.dynamic.moo.fda1
Class FDA1_g

java.lang.Object
  net.sourceforge.cilib.functions.Function
      net.sourceforge.cilib.functions.ContinuousFunction
          net.sourceforge.cilib.functions.continuous.dynamic.moo.fda1.FDA1_g

All Implemented Interfaces:

Serializable, Cloneable

public class FDA1_g
extends ContinuousFunction

This function is the g 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_g()
Default constructor

FDA1_g(FDA1_g copy)
Copy constructor

Method Summary

double	evaluate(Vector x) Evaluates the function f(XII) = 1 + sum ( x_i - G(t))^2
FDA1_g	getClone() return a clone
int	getN_t() returns the severity of change
int	getTau_t() returns the frequency of change
int	getTau() returns the iteration number
void	setN_t(int n_t) sets the severity of change
void	setTau_t(int tau_t) sets the frequency of change
void	setTau(int tau) sets the iteration number

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_g

public FDA1_g()

Default constructor

FDA1_g

public FDA1_g(FDA1_g copy)

Copy constructor

Parameters:

copy -

Method Detail

getClone

public FDA1_g 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()

setTau

public void setTau(int tau)

sets the iteration number

Parameters:

tau -

getTau

public int getTau()

returns the iteration number

Returns:

tau

setTau_t

public void setTau_t(int tau_t)

sets the frequency of change

Parameters:

tau -

getTau_t

public int getTau_t()

returns the frequency of change

Returns:

tau_t

setN_t

public void setN_t(int n_t)

sets the severity of change

Parameters:

n_t -

getN_t

public int getN_t()

returns the severity of change

Returns:

n_t

evaluate

public double evaluate(Vector x)

Evaluates the function f(XII) = 1 + sum ( x_i - G(t))^2

Specified by:

evaluate in class ContinuousFunction

Parameters:

x - The input Vector.

Returns:

The value of the evaluation.