Package org.moeaframework.problem.BBOB2016

Class Ellipsoid

java.lang.Object

org.moeaframework.problem.AbstractProblem

org.moeaframework.problem.BBOB2016.BBOBFunction

org.moeaframework.problem.BBOB2016.Ellipsoid

All Implemented Interfaces:

AutoCloseable, Problem

public class Ellipsoid
extends BBOBFunction

The Ellipsoid 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:

• Non-separable
• Unimodal
• Ill-conditioned
• Smooth local irregularities

Field Summary

Fields

Modifier and Type	Field	Description
static final double	CONDITION	The conditioning factor.

Fields inherited from class org.moeaframework.problem.AbstractProblem

numberOfConstraints, numberOfObjectives, numberOfVariables

Constructor Summary

Constructors

Constructor	Description
Ellipsoid(int numberOfVariables)	Constructs a new instance of the Ellipsoid 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

Field Details

CONDITION

public static final double CONDITION

The conditioning factor.

See Also:

• Constant Field Values

Constructor Details

Ellipsoid

public Ellipsoid(int numberOfVariables)

Constructs a new instance of the Ellipsoid function.

Parameters:

numberOfVariables - the number of decision variables

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