[14412] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15584] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[14412] | 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.Optimization.Operators;
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| 26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 27 |
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| 28 | namespace HeuristicLab.Encodings.BinaryVectorEncoding {
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| 29 | [Item("Hamming Similarity Calculator for BinaryVector", "Calculates the solution similarity based on the Hamming distance between two binary vectors.")]
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| 30 | [StorableClass]
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| 31 | public sealed class HammingSimilarityCalculator : SingleObjectiveSolutionSimilarityCalculator {
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| 32 | protected override bool IsCommutative {
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| 33 | get { return true; }
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| 34 | }
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| 35 |
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| 36 | [StorableConstructor]
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| 37 | private HammingSimilarityCalculator(bool deserializing) : base(deserializing) { }
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| 38 | private HammingSimilarityCalculator(HammingSimilarityCalculator original, Cloner cloner) : base(original, cloner) { }
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| 39 | public HammingSimilarityCalculator() { }
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| 40 |
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| 41 | public override IDeepCloneable Clone(Cloner cloner) {
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| 42 | return new HammingSimilarityCalculator(this, cloner);
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| 43 | }
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| 44 |
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| 45 | public static double CalculateSimilarity(BinaryVector left, BinaryVector right) {
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| 46 | if (left == null || right == null)
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[15217] | 47 | throw new ArgumentException("Cannot calculate similarity because one or both of the provided solutions is null.");
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[14412] | 48 | if (left.Length != right.Length)
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| 49 | throw new ArgumentException("Cannot calculate similarity because the provided solutions have different lengths.");
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[15217] | 50 | if (left.Length == 0)
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| 51 | throw new ArgumentException("Cannot calculate similarity because solutions are of length 0.");
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| 52 | if (ReferenceEquals(left, right)) return 1.0;
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[14412] | 53 |
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| 54 | double similarity = 0.0;
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| 55 | for (int i = 0; i < left.Length; i++)
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| 56 | if (left[i] == right[i]) similarity++;
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| 57 | return similarity / left.Length;
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| 58 |
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| 59 | }
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| 60 |
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| 61 | public override double CalculateSolutionSimilarity(IScope leftSolution, IScope rightSolution) {
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| 62 | var left = leftSolution.Variables[SolutionVariableName].Value as BinaryVector;
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| 63 | var right = rightSolution.Variables[SolutionVariableName].Value as BinaryVector;
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| 64 |
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| 65 | return CalculateSimilarity(left, right);
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| 66 | }
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| 67 | }
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| 68 | }
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