Package org.moeaframework.problem.misc
Class OKA1
java.lang.Object
org.moeaframework.problem.AbstractProblem
org.moeaframework.problem.misc.OKA1
- All Implemented Interfaces:
AutoCloseable
,Problem
Tatsuya Okabe's OKA1 test problem. The probability density of points becomes more sparse the closer a population
gets to the Pareto front.
References:
- Okabe, T., et al. "On Test Functions for Evolutionary Multi-Objective Optimization." Parallel Problem Solving from Nature, pp. 792-802, 2004.
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Field Summary
Fields inherited from class org.moeaframework.problem.AbstractProblem
numberOfConstraints, numberOfObjectives, numberOfVariables
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionvoid
Evaluates the solution, updating the solution's objectives in place.Returns a new solution for this problem.Methods inherited from class org.moeaframework.problem.AbstractProblem
close, getName, getNumberOfConstraints, getNumberOfObjectives, getNumberOfVariables
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Constructor Details
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OKA1
public OKA1()Constructs the OKA1 problem.
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Method Details
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evaluate
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
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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
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