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source: stable/HeuristicLab.Problems.TestFunctions/3.3/SimilarityCalculators/SingleObjectiveTestFunctionSimilarityCalculator.cs @ 17514

Last change on this file since 17514 was 17181, checked in by swagner, 5 years ago

#2875: Merged r17180 from trunk to stable

File size: 3.8 KB
RevLine 
[7789]1#region License Information
2/* HeuristicLab
[17181]3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[7789]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 System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Encodings.RealVectorEncoding;
27using HeuristicLab.Optimization.Operators;
[17097]28using HEAL.Attic;
[7789]29
30namespace HeuristicLab.Problems.TestFunctions {
31  /// <summary>
32  /// An operator that performs similarity calculation between two test functions solutions.
33  /// </summary>
[8319]34  /// <remarks>
35  /// The operator calculates the similarity based on the euclidean distance of the two solutions in n-dimensional space.
36  /// </remarks>
[8327]37  [Item("SingleObjectiveTestFunctionSimilarityCalculator", "An operator that performs similarity calculation between two test functions solutions. The operator calculates the similarity based on the euclidean distance of the two solutions in n-dimensional space.")]
[17097]38  [StorableType("E6CD365A-5554-42D5-8A5B-6CE3B916A375")]
[8319]39  public sealed class SingleObjectiveTestFunctionSimilarityCalculator : SingleObjectiveSolutionSimilarityCalculator {
[12280]40    protected override bool IsCommutative { get { return true; } }
41
[8303]42    [Storable]
[7954]43    public DoubleMatrix Bounds { get; set; }
[7789]44
[8303]45    [StorableConstructor]
[17097]46    private SingleObjectiveTestFunctionSimilarityCalculator(StorableConstructorFlag _) : base(_) { }
[8303]47    private SingleObjectiveTestFunctionSimilarityCalculator(SingleObjectiveTestFunctionSimilarityCalculator original, Cloner cloner)
48      : base(original, cloner) {
49      this.Bounds = cloner.Clone(original.Bounds);
50    }
[7954]51    public SingleObjectiveTestFunctionSimilarityCalculator() : base() { }
[7789]52
[8303]53    public override IDeepCloneable Clone(Cloner cloner) {
54      return new SingleObjectiveTestFunctionSimilarityCalculator(this, cloner);
55    }
56
[8086]57    public static double CalculateSimilarity(RealVector left, RealVector right, DoubleMatrix bounds) {
58      if (left == null || right == null)
59        throw new ArgumentException("Cannot calculate similarity because one of the provided solutions or both are null.");
60      if (bounds == null)
61        throw new ArgumentException("Cannot calculate similarity because no bounds were provided.");
[8319]62      if (left.Length != right.Length)
63        throw new ArgumentException("Cannot calculate similarity because the provided solutions have different lengths.");
[8304]64      if (left == right) return 1.0;
[7789]65
66      double maxSum = 0.0;
[8086]67      for (int i = 0; i < left.Length; i++)
68        maxSum += Math.Pow(bounds[0, 0] - bounds[0, 1], 2);
69      double maxDistance = Math.Sqrt(maxSum) / left.Length;
[7789]70
71      double sum = 0.0;
[8086]72      for (int i = 0; i < left.Length; i++)
73        sum += Math.Pow(left[i] - right[i], 2);
74      double distance = Math.Sqrt(sum) / left.Length;
[7789]75
76      return 1.0 - distance / maxDistance;
77    }
[8086]78
[8319]79    public override double CalculateSolutionSimilarity(IScope leftSolution, IScope rightSolution) {
80      var sol1 = leftSolution.Variables[SolutionVariableName].Value as RealVector;
81      var sol2 = rightSolution.Variables[SolutionVariableName].Value as RealVector;
[8086]82
83      return CalculateSimilarity(sol1, sol2, Bounds);
84    }
[7789]85  }
86}
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