[7789] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 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.Data;
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| 26 | using HeuristicLab.Encodings.RealVectorEncoding;
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| 27 | using HeuristicLab.Optimization.Operators;
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[8303] | 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[7789] | 29 |
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| 30 | namespace HeuristicLab.Problems.TestFunctions {
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| 31 | /// <summary>
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| 32 | /// An operator that performs similarity calculation between two test functions solutions.
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| 33 | /// </summary>
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| 34 | [Item("SingleObjectiveTestFunctionSimilarityCalculator", "An operator that performs similarity calculation between two test functions solutions.")]
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[8303] | 35 | [StorableClass]
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[7789] | 36 | public sealed class SingleObjectiveTestFunctionSimilarityCalculator : SimilarityCalculator {
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| 37 | #region Properties
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[8303] | 38 | [Storable]
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[7954] | 39 | public DoubleMatrix Bounds { get; set; }
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[7789] | 40 | #endregion
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| 41 |
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[8303] | 42 | [StorableConstructor]
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[7789] | 43 | private SingleObjectiveTestFunctionSimilarityCalculator(bool deserializing) : base(deserializing) { }
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[8303] | 44 | private SingleObjectiveTestFunctionSimilarityCalculator(SingleObjectiveTestFunctionSimilarityCalculator original, Cloner cloner)
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| 45 | : base(original, cloner) {
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| 46 | this.Bounds = cloner.Clone(original.Bounds);
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| 47 | }
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[7954] | 48 | public SingleObjectiveTestFunctionSimilarityCalculator() : base() { }
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[7789] | 49 |
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[8303] | 50 | public override IDeepCloneable Clone(Cloner cloner) {
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| 51 | return new SingleObjectiveTestFunctionSimilarityCalculator(this, cloner);
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| 52 | }
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| 53 |
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[8086] | 54 | public static double CalculateSimilarity(RealVector left, RealVector right, DoubleMatrix bounds) {
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| 55 | if (left == null || right == null)
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| 56 | throw new ArgumentException("Cannot calculate similarity because one of the provided solutions or both are null.");
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| 57 | if (bounds == null)
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| 58 | throw new ArgumentException("Cannot calculate similarity because no bounds were provided.");
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[8304] | 59 | if (left == right) return 1.0;
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[7789] | 60 |
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| 61 | double maxSum = 0.0;
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[8086] | 62 | for (int i = 0; i < left.Length; i++)
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| 63 | maxSum += Math.Pow(bounds[0, 0] - bounds[0, 1], 2);
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| 64 | double maxDistance = Math.Sqrt(maxSum) / left.Length;
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[7789] | 65 |
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| 66 | double sum = 0.0;
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[8086] | 67 | for (int i = 0; i < left.Length; i++)
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| 68 | sum += Math.Pow(left[i] - right[i], 2);
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| 69 | double distance = Math.Sqrt(sum) / left.Length;
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[7789] | 70 |
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| 71 | return 1.0 - distance / maxDistance;
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| 72 | }
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[8086] | 73 |
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[8304] | 74 | public override double CalculateIndividualSimilarity(IScope left, IScope right) {
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| 75 | var sol1 = left.Variables[Target].Value as RealVector;
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| 76 | var sol2 = right.Variables[Target].Value as RealVector;
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[8086] | 77 |
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| 78 | return CalculateSimilarity(sol1, sol2, Bounds);
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| 79 | }
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[7789] | 80 | }
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| 81 | }
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