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source: stable/HeuristicLab.Encodings.RealVectorEncoding/3.3/ParticleOperators/SPSO2007ParticleUpdater.cs @ 16420

Last change on this file since 16420 was 15584, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers on stable

File size: 4.1 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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
22using System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Encodings.RealVectorEncoding {
30  [Item("SPSO 2007 Particle Updater", "Updates the particle's position according to the formulae described in SPSO 2007.")]
31  [StorableClass]
32  public sealed class SPSO2007ParticleUpdater : SPSOParticleUpdater {
33
34    #region Construction & Cloning
35    [StorableConstructor]
36    private SPSO2007ParticleUpdater(bool deserializing) : base(deserializing) { }
37    private SPSO2007ParticleUpdater(SPSO2007ParticleUpdater original, Cloner cloner) : base(original, cloner) { }
38    public SPSO2007ParticleUpdater() : base() { }
39    public override IDeepCloneable Clone(Cloner cloner) {
40      return new SPSO2007ParticleUpdater(this, cloner);
41    }
42    #endregion
43   
44    public static void UpdateVelocity(IRandom random, RealVector velocity, RealVector position, RealVector personalBest, RealVector neighborBest, double inertia = 0.721, double personalBestAttraction = 1.193, double neighborBestAttraction = 1.193, double maxVelocity = double.MaxValue) {
45      for (int i = 0; i < velocity.Length; i++) {
46        double r_p = random.NextDouble();
47        double r_g = random.NextDouble();
48        velocity[i] =
49          velocity[i] * inertia +
50          (personalBest[i] - position[i]) * personalBestAttraction * r_p +
51          (neighborBest[i] - position[i]) * neighborBestAttraction * r_g;
52      }
53
54      var speed = Math.Sqrt(velocity.DotProduct(velocity));
55      if (speed > maxVelocity) {
56        for (var i = 0; i < velocity.Length; i++) {
57          velocity[i] *= maxVelocity / speed;
58        }
59      }
60    }
61
62    public static void UpdatePosition(DoubleMatrix bounds, RealVector velocity, RealVector position) {
63      for (int i = 0; i < velocity.Length; i++) {
64        position[i] += velocity[i];
65      }
66
67      for (int i = 0; i < position.Length; i++) {
68        double min = bounds[i % bounds.Rows, 0];
69        double max = bounds[i % bounds.Rows, 1];
70        if (position[i] < min) {
71          position[i] = min;
72          velocity[i] = 0; // SPSO 2007
73        }
74        if (position[i] > max) {
75          position[i] = max;
76          velocity[i] = 0; // SPSO 2007
77        }
78      }
79    }
80
81    public override IOperation Apply() {
82      var random = RandomParameter.ActualValue;
83      var velocity = VelocityParameter.ActualValue;
84      var maxVelocity = CurrentMaxVelocityParameter.ActualValue.Value;
85      var position = RealVectorParameter.ActualValue;
86      var bounds = BoundsParameter.ActualValue;
87
88      var inertia = CurrentInertiaParameter.ActualValue.Value;
89      var personalBest = PersonalBestParameter.ActualValue;
90      var personalBestAttraction = PersonalBestAttractionParameter.ActualValue.Value;
91      var neighborBest = NeighborBestParameter.ActualValue;
92      var neighborBestAttraction = NeighborBestAttractionParameter.ActualValue.Value;
93
94      UpdateVelocity(random, velocity, position, personalBest, neighborBest, inertia, personalBestAttraction, neighborBestAttraction, maxVelocity);
95      UpdatePosition(bounds, velocity, position);
96
97      return base.Apply();
98    }
99  }
100}
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