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source: branches/HeuristicLab.DiversityAnalysis/HeuristicLab.Problems.TravelingSalesman/3.3/MoveEvaluators/TwoOpt/TSPInversionMovePathEvaluator.cs @ 4695

Last change on this file since 4695 was 4068, checked in by swagner, 14 years ago

Sorted usings and removed unused usings in entire solution (#1094)

File size: 3.9 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Core;
23using HeuristicLab.Data;
24using HeuristicLab.Encodings.PermutationEncoding;
25using HeuristicLab.Parameters;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Problems.TravelingSalesman {
29  /// <summary>
30  /// An operator to evaluate inversion moves (2-opt).
31  /// </summary>
32  [Item("TSPInversionMovePathEvaluator", "Evaluates an inversion move (2-opt) by summing up the length of all added edges and subtracting the length of all deleted edges.")]
33  [StorableClass]
34  public abstract class TSPInversionMovePathEvaluator : TSPPathMoveEvaluator, IPermutationInversionMoveOperator {
35    public ILookupParameter<InversionMove> InversionMoveParameter {
36      get { return (ILookupParameter<InversionMove>)Parameters["InversionMove"]; }
37    }
38
39    public TSPInversionMovePathEvaluator()
40      : base() {
41      Parameters.Add(new LookupParameter<InversionMove>("InversionMove", "The move to evaluate."));
42    }
43
44    protected override double EvaluateByCoordinates(Permutation permutation, DoubleMatrix coordinates) {
45      InversionMove move = InversionMoveParameter.ActualValue;
46      int edge1source = permutation.GetCircular(move.Index1 - 1);
47      int edge1target = permutation[move.Index1];
48      int edge2source = permutation[move.Index2];
49      int edge2target = permutation.GetCircular(move.Index2 + 1);
50      if (move.Index2 - move.Index1 >= permutation.Length - 2) return 0;
51      double moveQuality = 0;
52      // remove two edges
53      moveQuality -= CalculateDistance(coordinates[edge1source, 0], coordinates[edge1source, 1],
54            coordinates[edge1target, 0], coordinates[edge1target, 1]);
55      moveQuality -= CalculateDistance(coordinates[edge2source, 0], coordinates[edge2source, 1],
56        coordinates[edge2target, 0], coordinates[edge2target, 1]);
57      // add two edges
58      moveQuality += CalculateDistance(coordinates[edge1source, 0], coordinates[edge1source, 1],
59        coordinates[edge2source, 0], coordinates[edge2source, 1]);
60      moveQuality += CalculateDistance(coordinates[edge1target, 0], coordinates[edge1target, 1],
61        coordinates[edge2target, 0], coordinates[edge2target, 1]);
62      return moveQuality;
63    }
64
65    protected override double EvaluateByDistanceMatrix(Permutation permutation, DoubleMatrix distanceMatrix) {
66      InversionMove move = InversionMoveParameter.ActualValue;
67      int edge1source = permutation.GetCircular(move.Index1 - 1);
68      int edge1target = permutation[move.Index1];
69      int edge2source = permutation[move.Index2];
70      int edge2target = permutation.GetCircular(move.Index2 + 1);
71      if (move.Index2 - move.Index1 >= permutation.Length - 2) return 0;
72      double moveQuality = 0;
73      // remove two edges
74      moveQuality -= distanceMatrix[edge1source, edge1target];
75      moveQuality -= distanceMatrix[edge2source, edge2target];
76      // add two edges
77      moveQuality += distanceMatrix[edge1source, edge2source];
78      moveQuality += distanceMatrix[edge1target, edge2target];
79      return moveQuality;
80    }
81  }
82}
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