Class ConvexDTLZ2

All Implemented Interfaces:
AutoCloseable, Problem, AnalyticalProblem
Direct Known Subclasses:
ConvexC2_DTLZ2

public class ConvexDTLZ2 extends DTLZ2
The convex DTLZ2 problem.
  • Constructor Details

    • ConvexDTLZ2

      public ConvexDTLZ2(int numberOfVariables, int numberOfObjectives)
      Constructs a convex DTLZ2 test problem with the specified number of variables and objectives.
      Parameters:
      numberOfVariables - the number of variables for this problem
      numberOfObjectives - the number of objectives for this problem
    • ConvexDTLZ2

      public ConvexDTLZ2(int numberOfObjectives)
      Constructs a convex DTLZ2 test problem with the specified number of objectives. This is equivalent to calling new DTLZ2(numberOfObjectives+9, numberOfObjectives).
      Parameters:
      numberOfObjectives - the number of objectives for this 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.
      Specified by:
      evaluate in interface Problem
      Overrides:
      evaluate in class DTLZ2
      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 remove 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.

      Specified by:
      generate in interface AnalyticalProblem
      Overrides:
      generate in class DTLZ2
      Returns:
      a randomly-generated Pareto optimal solution to this problem