net.sourceforge.cilib.functions.continuous.unconstrained
Class Bohachevsky2

java.lang.Object
  net.sourceforge.cilib.functions.Function
      net.sourceforge.cilib.functions.ContinuousFunction
          net.sourceforge.cilib.functions.continuous.unconstrained.Bohachevsky2

All Implemented Interfaces:

Serializable, Cloneable

public class Bohachevsky2
extends ContinuousFunction

Bohachevsky 2.

Reference: Global Optimization Meta-Heuristics Website, http://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/go.htm

Minimum:

• f(x*) = 0
• x* = (0, 0)
• for x_1, x_2 in [-100, 100]

Characteristics:

• Only defined for 2 dimensions
• Unimodal
• Seperable
• Regular

Author:

Andries Engelbrecht

See Also:

Serialized Form

Constructor Summary

Bohachevsky2()
Creates a new instance of Bohachevsky2.

Method Summary

double	evaluate(Vector x) Evaluate the function with the given Vector as input.
Bohachevsky2	getClone() Create a cloned copy of the current object and return it.

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

Bohachevsky2

public Bohachevsky2()

Creates a new instance of Bohachevsky2.

Method Detail

getClone

public Bohachevsky2 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 Cloneable

Specified by:

getClone in class ContinuousFunction

Returns:

An exact clone of the current object instance.

See Also:

Object.clone()

evaluate

public double evaluate(Vector x)

Evaluate the function with the given Vector as input.

Specified by:

evaluate in class ContinuousFunction

Parameters:

x - The input Vector.

Returns:

The value of the evaluation.