Package org.moeaframework.problem.misc

Class Kita

java.lang.Object

org.moeaframework.problem.AbstractProblem

org.moeaframework.problem.misc.Kita

All Implemented Interfaces:

AutoCloseable, Problem

public class Kita
extends AbstractProblem

The Kita problem.

Properties:

• Disconnected Pareto set
• Disconnected and concave Pareto front
• Constrained
• Maximization (objectives are negated)

References:

1. Kita, H., et al. (1996). "Multi-Objective Optimization by Means of the Thermodynamical Genetic Algorithm." Parallel Problem Solving from Nature — PPSN IV, Lecture Notes in Computer Science, Springer, pp. 504-512.
2. Van Veldhuizen, D. A (1999). "Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations." Air Force Institute of Technology, Ph.D. Thesis, Appendix B.

Field Summary

Fields inherited from class org.moeaframework.problem.AbstractProblem

numberOfConstraints, numberOfObjectives, numberOfVariables

Constructor Summary

Constructors

Constructor	Description
Kita()	Constructs the Kita problem.

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

Kita

public Kita()

Constructs the Kita problem.

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