org.moeaframework.problem.WFG
Class WFG1

java.lang.Object
  org.moeaframework.problem.AbstractProblem
      org.moeaframework.problem.WFG.WFG
          org.moeaframework.problem.WFG.WFG1

All Implemented Interfaces:

Problem, AnalyticalProblem

Direct Known Subclasses:

UF13

public class WFG1
extends WFG

The WFG1 test problem.

Field Summary

Fields inherited from class org.moeaframework.problem.WFG.WFG

k, l, M

Fields inherited from class org.moeaframework.problem.AbstractProblem

numberOfConstraints, numberOfObjectives, numberOfVariables

Constructor Summary

WFG1(int k, int l, int M)
Constructs a WFG1 problem instance with the specified number of position-related and distance-related variables and the specified number of objectives.

Method Summary

void	evaluate(Solution solution) Evaluates the solution, updating the solution's objectives in place.
Solution	generate() Returns a randomly-generated solution using the analytical solution to this problem.

Methods inherited from class org.moeaframework.problem.WFG.WFG

newSolution

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

Methods inherited from interface org.moeaframework.core.Problem

close, getName, getNumberOfConstraints, getNumberOfObjectives, getNumberOfVariables

Constructor Detail

WFG1

public WFG1(int k,
            int l,
            int M)

Constructs a WFG1 problem instance with the specified number of position-related and distance-related variables and the specified number of objectives.

Parameters:

k - the number of position-related variables for this problem

l - the number of distance-related variables for this problem

M - the number of objectives for this problem

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

generate

public Solution generate()

Description copied from interface: AnalyticalProblem

Returns a randomly-generated solution using the analytical solution to this problem. Note however that discontinuous Pareto surfaces may result in some solutions generated by this method being dominated by other generated solutions. It is therefore recommended using a NondominatedPopulation to removed dominated solutions prior to using the generated reference set.

The generated solutions should be spread uniformly across the entire Pareto frontier; however, this is a suggestion and is not a requirement of this interface.

Returns:

a randomly-generated Pareto optimal solution to this problem