MOEA Framework 2.12
API Specification

org.moeaframework.problem.misc
Class Kursawe

java.lang.Object
  extended by org.moeaframework.problem.AbstractProblem
      extended by org.moeaframework.problem.misc.Kursawe
All Implemented Interfaces:
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:

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
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
 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, finalize, getName, getNumberOfConstraints, getNumberOfObjectives, getNumberOfVariables
 
Methods inherited from class java.lang.Object
clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

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 Detail

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 may leave the actual value at a default or undefined state.

Returns:
a new solution for this problem

MOEA Framework 2.12
API Specification

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Licensed under the GNU Lesser General Public License.
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