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Timestamp:
10/26/11 23:36:10 (13 years ago)
Author:
abeham
Message:

#1663

  • Added an *Operators* parameter in Problem
  • Adapted KnapsackProblem, OnemaxProblem, SingleObjectiveTestFunctionProblem, TravelingSalesmanProblem, and VehicleRoutingProblem to derive from SingleObjectiveHeuristicOptimizationProblem<U, V>, renamed and marked old list as obsolete. Note that QuadraticAssignmentProblem, as well as the new DataAnalysisProblems already derived from that class. ArtificialAntProblem was not yet modified.
  • Added some test lists and adapted SamplesTest
  • Added plugin dependencies that the unit test was complaining about
File:
1 edited

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  • trunk/sources/HeuristicLab.Tests/HeuristicLab-3.3/SamplesTest.cs

    r6930 r6938  
    8585      TravelingSalesmanProblem tspProblem = new TravelingSalesmanProblem();
    8686      tspProblem.ImportFromTSPLIB("ch130.tsp", "ch130.opt.tour", 6110);
    87       tspProblem.Evaluator = new TSPRoundedEuclideanPathEvaluator();
    88       tspProblem.SolutionCreator = new RandomPermutationCreator();
     87      tspProblem.EvaluatorParameter.Value = new TSPRoundedEuclideanPathEvaluator();
     88      tspProblem.SolutionCreatorParameter.Value = new RandomPermutationCreator();
    8989      tspProblem.UseDistanceMatrix.Value = true;
    9090      tspProblem.Name = "ch130 TSP (imported from TSPLIB)";
     
    140140      vrpProblem.TardinessPenaltyParameter.Value.Value = 100;
    141141      vrpProblem.TimeFactorParameter.Value.Value = 0;
    142       vrpProblem.Evaluator = new VRPEvaluator();
     142      vrpProblem.EvaluatorParameter.Value = new VRPEvaluator();
    143143      vrpProblem.MaximizationParameter.Value.Value = false;
    144       vrpProblem.SolutionCreator = new RandomCreator();
     144      vrpProblem.SolutionCreatorParameter.Value = new RandomCreator();
    145145      vrpProblem.UseDistanceMatrix.Value = true;
    146146      vrpProblem.Vehicles.Value = 25;
     
    480480
    481481      problem.ProblemSize.Value = 10;
    482       problem.Evaluator = new GriewankEvaluator();
    483       problem.SolutionCreator = new UniformRandomRealVectorCreator();
     482      problem.EvaluatorParameter.Value = new GriewankEvaluator();
     483      problem.SolutionCreatorParameter.Value = new UniformRandomRealVectorCreator();
    484484      problem.Maximization.Value = false;
    485485      problem.Bounds = new DoubleMatrix(new double[,] { { -600, 600 } });
     
    533533      TravelingSalesmanProblem tspProblem = new TravelingSalesmanProblem();
    534534      tspProblem.ImportFromTSPLIB("ch130.tsp", "ch130.opt.tour", 6110);
    535       tspProblem.Evaluator = new TSPRoundedEuclideanPathEvaluator();
    536       tspProblem.SolutionCreator = new RandomPermutationCreator();
     535      tspProblem.EvaluatorParameter.Value = new TSPRoundedEuclideanPathEvaluator();
     536      tspProblem.SolutionCreatorParameter.Value = new RandomPermutationCreator();
    537537      tspProblem.UseDistanceMatrix.Value = true;
    538538      tspProblem.Name = "ch130 TSP (imported from TSPLIB)";
     
    581581      #region Problem Configuration
    582582      KnapsackProblem problem = new KnapsackProblem();
    583       problem.BestKnownQuality = new DoubleValue(362);
     583      problem.BestKnownQuality.Value = 362;
    584584      problem.BestKnownSolution = new HeuristicLab.Encodings.BinaryVectorEncoding.BinaryVector(new bool[] {
    585585       true , false, false, true , true , true , true , true , false, true , true , true , true , true , true , false, true , false, true , true , false, true , true , false, true , false, true , true , true , false, true , true , false, true , true , false, true , false, true , true , true , true , true , true , true , true , true , true , true , true , true , false, true , false, false, true , true , false, true , true , true , true , true , true , true , true , false, true , false, true , true , true , true , false, true , true , true , true , true , true , true , true});
    586       problem.Evaluator = new KnapsackEvaluator();
    587       problem.SolutionCreator = new RandomBinaryVectorCreator();
     586      problem.EvaluatorParameter.Value = new KnapsackEvaluator();
     587      problem.SolutionCreatorParameter.Value = new RandomBinaryVectorCreator();
    588588      problem.KnapsackCapacity.Value = 297;
    589589      problem.Maximization.Value = true;
     
    651651      problem.BestKnownSolutionParameter.Value = new RealVector(new double[] { 420.968746, 420.968746 });
    652652      problem.Bounds = new DoubleMatrix(new double[,] { { -500, 500 } });
    653       problem.Evaluator = new SchwefelEvaluator();
     653      problem.EvaluatorParameter.Value = new SchwefelEvaluator();
    654654      problem.Maximization.Value = false;
    655655      problem.ProblemSize.Value = 2;
    656       problem.SolutionCreator = new UniformRandomRealVectorCreator();
     656      problem.SolutionCreatorParameter.Value = new UniformRandomRealVectorCreator();
    657657      #endregion
    658658      #region Algorithm Configuration
     
    721721      problem.BestKnownSolutionParameter.Value = new RealVector(new double[] { 0, 0 });
    722722      problem.Bounds = new DoubleMatrix(new double[,] { { -5.12, 5.12 } });
    723       problem.Evaluator = new RastriginEvaluator();
     723      problem.EvaluatorParameter.Value = new RastriginEvaluator();
    724724      problem.Maximization.Value = false;
    725725      problem.ProblemSize.Value = 2;
    726       problem.SolutionCreator = new UniformRandomRealVectorCreator();
     726      problem.SolutionCreatorParameter.Value = new UniformRandomRealVectorCreator();
    727727      #endregion
    728728      #region Algorithm Configuration
     
    788788      var tspProblem = new TravelingSalesmanProblem();
    789789      tspProblem.ImportFromTSPLIB("ch130.tsp", "ch130.opt.tour", 6110);
    790       tspProblem.Evaluator = new TSPRoundedEuclideanPathEvaluator();
    791       tspProblem.SolutionCreator = new RandomPermutationCreator();
     790      tspProblem.EvaluatorParameter.Value = new TSPRoundedEuclideanPathEvaluator();
     791      tspProblem.SolutionCreatorParameter.Value = new RandomPermutationCreator();
    792792      tspProblem.UseDistanceMatrix.Value = true;
    793793      tspProblem.Name = "ch130 TSP (imported from TSPLIB)";
     
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    871871      });
    872       tspProblem.BestKnownQuality = new DoubleValue(867);
    873 
    874       tspProblem.Evaluator = new TSPRoundedEuclideanPathEvaluator();
    875       tspProblem.SolutionCreator = new RandomPermutationCreator();
     872      tspProblem.BestKnownQuality.Value = 867;
     873
     874      tspProblem.EvaluatorParameter.Value = new TSPRoundedEuclideanPathEvaluator();
     875      tspProblem.SolutionCreatorParameter.Value = new RandomPermutationCreator();
    876876      tspProblem.UseDistanceMatrix.Value = true;
    877877      tspProblem.Name = "Funny TSP";
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