Class OKA1

java.lang.Object
org.moeaframework.problem.AbstractProblem
org.moeaframework.problem.misc.OKA1
All Implemented Interfaces:
AutoCloseable, Problem

public class OKA1 extends AbstractProblem
Tatsuya Okabe's OKA1 test problem. The probability density of points becomes more sparse the closer a population gets to the Pareto front.

References:

  1. Okabe, T., et al. "On Test Functions for Evolutionary Multi-Objective Optimization." Parallel Problem Solving from Nature, pp. 792-802, 2004.
  • Constructor Details

    • OKA1

      public OKA1()
      Constructs the OKA1 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