1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Encodings.BinaryVectorEncoding;
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26 | using HeuristicLab.Optimization.Operators;
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27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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28 |
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29 | namespace HeuristicLab.Problems.Knapsack {
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30 | /// <summary>
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31 | /// An operator that performs similarity calculation between two knapsack solutions.
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32 | /// </summary>
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33 | /// <remarks>
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34 | /// The operator calculates the similarity based on the number of elements the two solutions have in common.
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35 | /// </remarks>
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36 | [Item("KnapsackSimilarityCalculator", "An operator that performs similarity calculation between two knapsack solutions. The operator calculates the similarity based on the number of elements the two solutions have in common.")]
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37 | [StorableType("E335A90A-13BB-48C6-9BD3-4D183E8EB370")]
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38 | public sealed class KnapsackSimilarityCalculator : SingleObjectiveSolutionSimilarityCalculator {
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39 | protected override bool IsCommutative { get { return true; } }
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40 |
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41 | private KnapsackSimilarityCalculator(bool deserializing) : base(deserializing) { }
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42 | private KnapsackSimilarityCalculator(KnapsackSimilarityCalculator original, Cloner cloner) : base(original, cloner) { }
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43 | public KnapsackSimilarityCalculator() : base() { }
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44 |
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45 | public override IDeepCloneable Clone(Cloner cloner) {
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46 | return new KnapsackSimilarityCalculator(this, cloner);
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47 | }
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48 |
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49 | public static double CalculateSimilarity(BinaryVector left, BinaryVector right) {
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50 | if (left == null || right == null)
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51 | throw new ArgumentException("Cannot calculate similarity because one or both of the provided scopes is null.");
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52 | if (left.Length != right.Length)
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53 | throw new ArgumentException("Cannot calculate similarity because the provided solutions have different lengths.");
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54 | if (left == right) return 1.0;
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55 |
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56 | double similarity = 0.0;
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57 | for (int i = 0; i < left.Length; i++)
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58 | if (left[i] == right[i]) similarity++;
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59 | return similarity / left.Length;
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60 | }
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61 |
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62 | public override double CalculateSolutionSimilarity(IScope leftSolution, IScope rightSolution) {
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63 | var sol1 = leftSolution.Variables[SolutionVariableName].Value as BinaryVector;
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64 | var sol2 = rightSolution.Variables[SolutionVariableName].Value as BinaryVector;
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65 |
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66 | return CalculateSimilarity(sol1, sol2);
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67 | }
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68 | }
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69 | }
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