source: branches/1888_OaaS/HeuristicLab.Tests/HeuristicLab.Problems.TravelingSalesman-3.3/TSPMoveEvaluatorTest.cs @ 16538

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using HeuristicLab.Common;
using HeuristicLab.Data;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Problems.TravelingSalesman;
using HeuristicLab.Random;
using Microsoft.VisualStudio.TestTools.UnitTesting;

namespace HeuristicLab.Problems.TravelingSalesman_33.Tests {

  /// <summary>
  ///This is a test class for TSP move evaluators
  ///</summary>
  [TestClass()]
  public class TSPMoveEvaluatorTest {
    private const int ProblemSize = 10;
    private static DoubleMatrix coordinates;
    private static DistanceMatrix distances;
    private static Permutation tour;
    private static MersenneTwister random;

    private TestContext testContextInstance;
    /// <summary>
    ///Gets or sets the test context which provides
    ///information about and functionality for the current test run.
    ///</summary>
    public TestContext TestContext {
      get { return testContextInstance; }
      set { testContextInstance = value; }
    }

    [ClassInitialize]
    public static void MyClassInitialize(TestContext testContext) {
      random = new MersenneTwister();
      coordinates = new DoubleMatrix(ProblemSize, 2);
      distances = new DistanceMatrix(ProblemSize, ProblemSize);
      for (int i = 0; i < ProblemSize; i++) {
        coordinates[i, 0] = random.Next(ProblemSize * 10);
        coordinates[i, 1] = random.Next(ProblemSize * 10);
      }
      for (int i = 0; i < ProblemSize - 1; i++) {
        for (int j = i + 1; j < ProblemSize; j++) {
          distances[i, j] = Math.Round(Math.Sqrt(Math.Pow(coordinates[i, 0] - coordinates[j, 0], 2) + Math.Pow(coordinates[i, 1] - coordinates[j, 1], 2)));
          distances[j, i] = distances[i, j];
        }
      }
      tour = new Permutation(PermutationTypes.RelativeUndirected, ProblemSize, random);
    }

    [TestMethod]
    public void InversionMoveEvaluatorTest() {
      var evaluator = new TSPRoundedEuclideanPathEvaluator();
      var moveEvaluator = new TSPInversionMoveRoundedEuclideanPathEvaluator();
      double beforeMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
      double beforeCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
      Assert.IsTrue(beforeMatrix.IsAlmost(beforeCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");

      for (int i = 0; i < 500; i++) {
        var move = StochasticInversionSingleMoveGenerator.Apply(tour, random);

        double moveMatrix = TSPInversionMovePathEvaluator.EvaluateByDistanceMatrix(tour, move, distances);
        double moveCoordinates = TSPInversionMovePathEvaluator.EvaluateByCoordinates(tour, move, coordinates, moveEvaluator);
        Assert.IsTrue(moveMatrix.IsAlmost(moveCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");

        string failureString = string.Format(@"Inversion move is calculated with quality {0}, but actual difference is {4}.
The move would invert the tour {1} between values {2} and {3}.", moveMatrix.ToString(), tour.ToString(), tour[move.Index1].ToString(), tour[move.Index2].ToString(), "{0}");

        InversionManipulator.Apply(tour, move.Index1, move.Index2);

        double afterMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
        double afterCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
        Assert.IsTrue(afterMatrix.IsAlmost(afterCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");

        Assert.IsTrue(moveMatrix.IsAlmost(afterMatrix - beforeMatrix), string.Format(failureString, (afterMatrix - beforeMatrix).ToString()));

        beforeMatrix = afterMatrix;
        beforeCoordinates = afterCoordinates;
      }
    }

    [TestMethod]
    public void TranslocationMoveEvaluatorTest() {
      var evaluator = new TSPRoundedEuclideanPathEvaluator();
      var moveEvaluator = new TSPTranslocationMoveRoundedEuclideanPathEvaluator();
      double beforeMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
      double beforeCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
      Assert.IsTrue(beforeMatrix.IsAlmost(beforeCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");

      for (int i = 0; i < 500; i++) {
        var move = StochasticTranslocationSingleMoveGenerator.Apply(tour, random);

        double moveMatrix = TSPTranslocationMovePathEvaluator.EvaluateByDistanceMatrix(tour, move, distances);
        double moveCoordinates = TSPTranslocationMovePathEvaluator.EvaluateByCoordinates(tour, move, coordinates, moveEvaluator);
        Assert.IsTrue(moveMatrix.IsAlmost(moveCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");

        string failureString = string.Format(@"Translocation move is calculated with quality {0}, but actual difference is {5}.
The move would move the segment between {1} and {2} in the tour {3} to the new index {4}.", moveMatrix.ToString(), tour[move.Index1].ToString(), tour[move.Index2].ToString(), tour.ToString(), move.Index3.ToString(), "{0}");
        TranslocationManipulator.Apply(tour, move.Index1, move.Index2, move.Index3);

        double afterMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
        double afterCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
        Assert.IsTrue(afterMatrix.IsAlmost(afterCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");

        Assert.IsTrue(moveMatrix.IsAlmost(afterMatrix - beforeMatrix), string.Format(failureString, (afterMatrix - beforeMatrix).ToString()));

        beforeMatrix = afterMatrix;
        beforeCoordinates = afterCoordinates;
      }
    }

  }
}