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source: branches/QAP/HeuristicLab.Problems.QuadraticAssignment/3.3/Evaluators/QAPEvaluator.cs @ 5598

Last change on this file since 5598 was 5598, checked in by abeham, 14 years ago

#1330

  • Updated solution view
  • Made distance matrix a mandatory parameter (solution instances are small anyway)
  • Added and set best known solution if available for a QAPLIB instance
File size: 3.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Encodings.PermutationEncoding;
26using HeuristicLab.Operators;
27using HeuristicLab.Parameters;
28using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
29
30namespace HeuristicLab.Problems.QuadraticAssignment {
31  [StorableClass]
32  public class QAPEvaluator : SingleSuccessorOperator, IQAPEvaluator {
33
34    public ILookupParameter<Permutation> PermutationParameter {
35      get { return (ILookupParameter<Permutation>)Parameters["Permutation"]; }
36    }
37    public ILookupParameter<DoubleMatrix> DistanceMatrixParameter {
38      get { return (ILookupParameter<DoubleMatrix>)Parameters["DistanceMatrix"]; }
39    }
40    public ILookupParameter<DoubleMatrix> CoordinatesParameter {
41      get { return (ILookupParameter<DoubleMatrix>)Parameters["Coordinates"]; }
42    }
43    public ILookupParameter<DoubleMatrix> WeightsParameter {
44      get { return (ILookupParameter<DoubleMatrix>)Parameters["Weights"]; }
45    }
46    public ILookupParameter<DoubleValue> QualityParameter {
47      get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
48    }
49
50    [StorableConstructor]
51    protected QAPEvaluator(bool deserializing) : base(deserializing) { }
52    protected QAPEvaluator(QAPEvaluator original, Cloner cloner) : base(original, cloner) { }
53    public QAPEvaluator() {
54      Parameters.Add(new LookupParameter<Permutation>("Permutation", "The permutation that represents the current solution."));
55      Parameters.Add(new LookupParameter<DoubleMatrix>("DistanceMatrix", "The distance matrix that contains the distances between the locations."));
56      Parameters.Add(new LookupParameter<DoubleMatrix>("Coordinates", "The coordinates in case the distance matrix should not be used."));
57      Parameters.Add(new LookupParameter<DoubleMatrix>("Weights", "The matrix with the weights between the facilities, that is how strongly they're connected to each other."));
58      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality value aka fitness value of the solution."));
59    }
60
61    public override IDeepCloneable Clone(Cloner cloner) {
62      return new QAPEvaluator(this, cloner);
63    }
64
65    public static double Apply(Permutation assignment, DoubleMatrix weights, DoubleMatrix distances) {
66      double quality = 0;
67      for (int i = 0; i < assignment.Length; i++) {
68        for (int j = 0; j < assignment.Length; j++) {
69          quality += weights[i, j] * distances[assignment[i], assignment[j]];
70        }
71      }
72      return quality;
73    }
74
75    public override IOperation Apply() {
76      Permutation assignment = PermutationParameter.ActualValue;
77      DoubleMatrix weights = WeightsParameter.ActualValue;
78      DoubleMatrix distanceMatrix = DistanceMatrixParameter.ActualValue;
79
80      double quality = Apply(assignment, weights, distanceMatrix);
81      QualityParameter.ActualValue = new DoubleValue(quality);
82
83      return base.Apply();
84    }
85  }
86}
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