Package org.moeaframework.problem.misc

Class Quagliarella

java.lang.Object

org.moeaframework.problem.AbstractProblem

org.moeaframework.problem.misc.Quagliarella

All Implemented Interfaces:

AutoCloseable, Problem

public class Quagliarella
extends AbstractProblem

The Quagliarella problem.

Properties:

• Disconnected Pareto set
• Convex Pareto front

References:

1. Van Veldhuizen, D. A (1999). "Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations." Air Force Institute of Technology, Ph.D. Thesis, Appendix B.
2. Quagliarella, D., and Vicini, A. (1998). "Sub-population Policies for a Parallel Multiobjective Genetic Algorithm with Applications to Wing Design." In proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3142-3147.

Field Summary

Fields inherited from class org.moeaframework.problem.AbstractProblem

numberOfConstraints, numberOfObjectives, numberOfVariables

Constructor Summary

Constructors

Constructor	Description
Quagliarella()	Constructs the Quagliarella problem.
Quagliarella(int numberOfVariables)	Constructs the Quagliarella problem with the given 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

Quagliarella

public Quagliarella()

Constructs the Quagliarella problem.

Quagliarella

public Quagliarella(int numberOfVariables)

Constructs the Quagliarella problem with the given number of decision variables.

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

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