Package org.moeaframework.problem.BBOB2016

Class Gallagher

java.lang.Object

org.moeaframework.problem.AbstractProblem

org.moeaframework.problem.BBOB2016.BBOBFunction

org.moeaframework.problem.BBOB2016.Gallagher

All Implemented Interfaces:

AutoCloseable, Problem

public class Gallagher
extends BBOBFunction

The 101-peak Gallagher function. It is not intended for this function to be used directly since the BBOB test suite applies additional transformations to the test functions.

Properties:

• Multimodal (with random locations of local optima)

Field Summary

Fields inherited from class org.moeaframework.problem.AbstractProblem

numberOfConstraints, numberOfObjectives, numberOfVariables

Constructor Summary

Constructors

Constructor	Description
Gallagher(int numberOfVariables, double[][] rotation, double[][] xLocal, double[][] arrScales, double[] peaks)	Constructs a new instance of the 101-peak Gallagher function.

Method Summary

Modifier and Type	Method	Description
void	evaluate(Solution solution)	Evaluates the solution, updating the solution's objectives in place.

Methods inherited from class org.moeaframework.problem.BBOB2016.BBOBFunction

newSolution

Methods inherited from class org.moeaframework.problem.AbstractProblem

close, getName, getNumberOfConstraints, getNumberOfObjectives, getNumberOfVariables

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.moeaframework.core.Problem

isType

Constructor Details

Gallagher

public Gallagher(int numberOfVariables,
 double[][] rotation,
 double[][] xLocal,
 double[][] arrScales,
 double[] peaks)

Constructs a new instance of the 101-peak Gallagher function.

Parameters:

numberOfVariables - the number of decision variables

rotation - the rotation matrix

xLocal - the location of the local optima

arrScales - controls the steepness of the peaks

peaks - the magnitude of the peaks

Method Details

evaluate

public void evaluate(Solution solution)

Description copied from interface: Problem

Evaluates the solution, updating the solution's objectives in place. Algorithms must explicitly call this method when appropriate to evaluate new solutions or reevaluate modified solutions.

Parameters:

solution - the solution to be evaluated