net.sourceforge.cilib.functions.continuous.unconstrained
Class Bohachevsky3

java.lang.Object
  extended by net.sourceforge.cilib.functions.Function
      extended by net.sourceforge.cilib.functions.ContinuousFunction
          extended by net.sourceforge.cilib.functions.continuous.unconstrained.Bohachevsky3
All Implemented Interfaces:
Serializable, Cloneable

public class Bohachevsky3
extends ContinuousFunction

Bohachevsky 3.

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

Minimum:

Characteristics:

Author:
Andries Engelbrecht
See Also:
Serialized Form

Constructor Summary
Bohachevsky3()
          Creates a new instance of Bohachevsky2.
 
Method Summary
 double evaluate(Vector x)
          Evaluate the function with the given Vector as input.
 Bohachevsky3 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

Bohachevsky3

public Bohachevsky3()
Creates a new instance of Bohachevsky2. Domain defaults to R(-100.0, 100)^2

Method Detail

getClone

public Bohachevsky3 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.


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