MOEA Framework 2.3
API Specification

org.moeaframework.problem.WFG
Class WFG7

java.lang.Object
  extended by org.moeaframework.problem.AbstractProblem
      extended by org.moeaframework.problem.WFG.WFG
          extended by org.moeaframework.problem.WFG.WFG7
All Implemented Interfaces:
Problem, AnalyticalProblem

public class WFG7
extends WFG

The WFG7 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
WFG7(int k, int l, int M)
          Constructs a WFG7 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

WFG7

public WFG7(int k,
            int l,
            int M)
Constructs a WFG7 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

MOEA Framework 2.3
API Specification

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Licensed under the GNU Lesser General Public License.
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