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source: trunk/sources/HeuristicLab.Problems.QuadraticAssignment/3.3/Evaluators/QAPEvaluator.cs @ 12656

Last change on this file since 12656 was 12012, checked in by ascheibe, 10 years ago

#2212 merged r12008, r12009, r12010 back into trunk

File size: 3.9 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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 : InstrumentedOperator, IQAPEvaluator {
33
34    public ILookupParameter<Permutation> PermutationParameter {
35      get { return (ILookupParameter<Permutation>)Parameters["Permutation"]; }
36    }
37    public ILookupParameter<DoubleMatrix> DistancesParameter {
38      get { return (ILookupParameter<DoubleMatrix>)Parameters["Distances"]; }
39    }
40    public ILookupParameter<DoubleMatrix> WeightsParameter {
41      get { return (ILookupParameter<DoubleMatrix>)Parameters["Weights"]; }
42    }
43    public ILookupParameter<DoubleValue> QualityParameter {
44      get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
45    }
46
47    [StorableConstructor]
48    protected QAPEvaluator(bool deserializing) : base(deserializing) { }
49    protected QAPEvaluator(QAPEvaluator original, Cloner cloner) : base(original, cloner) { }
50    public QAPEvaluator() {
51      Parameters.Add(new LookupParameter<Permutation>("Permutation", "The permutation that represents the current solution."));
52      Parameters.Add(new LookupParameter<DoubleMatrix>("Distances", "The distance matrix that contains the distances between the locations."));
53      Parameters.Add(new LookupParameter<DoubleMatrix>("Weights", "The matrix with the weights between the facilities, that is how strongly they're connected to each other."));
54      Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality value aka fitness value of the solution."));
55    }
56
57    public override IDeepCloneable Clone(Cloner cloner) {
58      return new QAPEvaluator(this, cloner);
59    }
60
61    public static double Apply(Permutation assignment, DoubleMatrix weights, DoubleMatrix distances) {
62      double quality = 0;
63      for (int i = 0; i < assignment.Length; i++) {
64        for (int j = 0; j < assignment.Length; j++) {
65          quality += weights[i, j] * distances[assignment[i], assignment[j]];
66        }
67      }
68      return quality;
69    }
70
71    public static double Impact(int facility, Permutation assignment, DoubleMatrix weights, DoubleMatrix distances) {
72      double impact = 0;
73      for (int i = 0; i < assignment.Length; i++) {
74        impact += weights[facility, i] * distances[assignment[facility], assignment[i]];
75        impact += weights[i, facility] * distances[assignment[i], assignment[facility]];
76      }
77      return impact;
78    }
79
80    public override IOperation InstrumentedApply() {
81      Permutation assignment = PermutationParameter.ActualValue;
82      DoubleMatrix weights = WeightsParameter.ActualValue;
83      DoubleMatrix distanceMatrix = DistancesParameter.ActualValue;
84
85      double quality = Apply(assignment, weights, distanceMatrix);
86      QualityParameter.ActualValue = new DoubleValue(quality);
87
88      return base.InstrumentedApply();
89    }
90  }
91}
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