Package org.moeaframework.problem.misc

Class Kursawe

java.lang.Object

org.moeaframework.problem.AbstractProblem

org.moeaframework.problem.misc.Kursawe

All Implemented Interfaces:

AutoCloseable, Problem

public class Kursawe
extends AbstractProblem

The Kursawe test problem. According to a personal correspondence between Van Veldhuizen and Marco Laumanns, a misprint exists in Kursawe's paper. This implementation uses the corrected version.

Properties:

• Disconnected, symmetric Pareto set
• Disconnected, concave Pareto front
• Scalable number of variables

References:

1. Kursawe, F. "A Variant of Evolution Strategies for Vector Optimization." Parallel Problem Solving from Nature, pp. 193-197, 1991.
2. Van Veldhuizen, D. "Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations." Ph.D. Dissertation. The Air Force Institute of Technology, Air University, 1999.

Field Summary

Fields inherited from class org.moeaframework.problem.AbstractProblem

numberOfConstraints, numberOfObjectives, numberOfVariables

Constructor Summary

Constructors

Constructor	Description
Kursawe()	Constructs the Kursawe problem with 3 decision variables.
Kursawe(int numberOfVariables)	Constructs the Kursawe problem with the specified number of decision variables.
Kursawe(int numberOfVariables, double lowerBound, double upperBound)	Constructs the Kursawe problem with the specified number of decision variables.

Method Summary

Modifier and Type	Method	Description
void	evaluate(Solution solution)	Evaluates the solution, updating the solution's objectives in place.
Solution	newSolution()	Returns a new solution for this problem.

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

Kursawe

public Kursawe()

Constructs the Kursawe problem with 3 decision variables.

Kursawe

public Kursawe(int numberOfVariables)

Constructs the Kursawe problem with the specified number of decision variables.

Parameters:

numberOfVariables - the number of decision variables

Kursawe

public Kursawe(int numberOfVariables,
 double lowerBound,
 double upperBound)

Constructs the Kursawe problem with the specified number of decision variables.

Parameters:

numberOfVariables - the number of decision variables

lowerBound - the lower bound for decision variables

upperBound - the upper bound for 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

newSolution

public Solution newSolution()

Description copied from interface: Problem

Returns a new solution for this problem. Implementations must initialize the variables so that the valid range of values is defined, but typically leave the actual value at a default or undefined state.

Returns:

a new solution for this problem