1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 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 |
|
---|
22 | using System;
|
---|
23 | using HeuristicLab.Common;
|
---|
24 | using HeuristicLab.Core;
|
---|
25 | using HeuristicLab.Data;
|
---|
26 | using HeuristicLab.Encodings.RealVectorEncoding;
|
---|
27 | using HeuristicLab.Optimization.Operators;
|
---|
28 | using HEAL.Attic;
|
---|
29 |
|
---|
30 | namespace HeuristicLab.Problems.TestFunctions {
|
---|
31 | /// <summary>
|
---|
32 | /// An operator that performs similarity calculation between two test functions solutions.
|
---|
33 | /// </summary>
|
---|
34 | /// <remarks>
|
---|
35 | /// The operator calculates the similarity based on the euclidean distance of the two solutions in n-dimensional space.
|
---|
36 | /// </remarks>
|
---|
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.")]
|
---|
38 | [StorableType("E6CD365A-5554-42D5-8A5B-6CE3B916A375")]
|
---|
39 | public sealed class SingleObjectiveTestFunctionSimilarityCalculator : SingleObjectiveSolutionSimilarityCalculator, ITestFunctionSolutionSimilarityCalculator {
|
---|
40 | protected override bool IsCommutative { get { return true; } }
|
---|
41 |
|
---|
42 | [Storable]
|
---|
43 | public DoubleMatrix Bounds { get; set; }
|
---|
44 |
|
---|
45 | [StorableConstructor]
|
---|
46 | private SingleObjectiveTestFunctionSimilarityCalculator(StorableConstructorFlag _) : base(_) { }
|
---|
47 | private SingleObjectiveTestFunctionSimilarityCalculator(SingleObjectiveTestFunctionSimilarityCalculator original, Cloner cloner)
|
---|
48 | : base(original, cloner) {
|
---|
49 | this.Bounds = cloner.Clone(original.Bounds);
|
---|
50 | }
|
---|
51 | public SingleObjectiveTestFunctionSimilarityCalculator() : base() { }
|
---|
52 |
|
---|
53 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
54 | return new SingleObjectiveTestFunctionSimilarityCalculator(this, cloner);
|
---|
55 | }
|
---|
56 |
|
---|
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.");
|
---|
62 | if (left.Length != right.Length)
|
---|
63 | throw new ArgumentException("Cannot calculate similarity because the provided solutions have different lengths.");
|
---|
64 | if (left == right) return 1.0;
|
---|
65 |
|
---|
66 | double maxSum = 0.0;
|
---|
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;
|
---|
70 |
|
---|
71 | double sum = 0.0;
|
---|
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;
|
---|
75 |
|
---|
76 | return 1.0 - distance / maxDistance;
|
---|
77 | }
|
---|
78 |
|
---|
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;
|
---|
82 |
|
---|
83 | return CalculateSimilarity(sol1, sol2, Bounds);
|
---|
84 | }
|
---|
85 | }
|
---|
86 | }
|
---|