1 | #region License Information
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2 |
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3 | /* HeuristicLab
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4 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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5 | *
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6 | * This file is part of HeuristicLab.
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7 | *
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8 | * HeuristicLab is free software: you can redistribute it and/or modify
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9 | * it under the terms of the GNU General Public License as published by
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10 | * the Free Software Foundation, either version 3 of the License, or
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11 | * (at your option) any later version.
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12 | *
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13 | * HeuristicLab is distributed in the hope that it will be useful,
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14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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16 | * GNU General Public License for more details.
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17 | *
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18 | * You should have received a copy of the GNU General Public License
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19 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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20 | */
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21 |
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22 | #endregion
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23 |
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24 | using System;
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25 | using HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.Encodings.BinaryVectorEncoding;
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29 | using HeuristicLab.Parameters;
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30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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31 |
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32 | namespace HeuristicLab.Problems.Binary {
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33 | [Item("Deceptive Trap Problem", "Genome encodes completely separable blocks, where each block is fully deceptive.")]
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34 | [StorableType("D2273632-F426-4B17-85E8-A7A28132A108")]
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35 | [Creatable(CreatableAttribute.Categories.CombinatorialProblems, Priority = 230)]
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36 | public class DeceptiveTrapProblem : BinaryProblem {
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37 | [StorableConstructor]
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38 | protected DeceptiveTrapProblem(bool deserializing) : base(deserializing) { }
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39 | protected DeceptiveTrapProblem(DeceptiveTrapProblem original, Cloner cloner)
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40 | : base(original, cloner) {
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41 | }
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42 | public override IDeepCloneable Clone(Cloner cloner) {
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43 | return new DeceptiveTrapProblem(this, cloner);
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44 | }
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45 |
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46 | public override bool Maximization {
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47 | get { return true; }
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48 | }
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49 |
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50 | private const string TrapSizeParameterName = "Trap Size";
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51 |
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52 | public IFixedValueParameter<IntValue> TrapSizeParameter {
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53 | get { return (IFixedValueParameter<IntValue>)Parameters[TrapSizeParameterName]; }
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54 | }
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55 |
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56 | public int TrapSize {
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57 | get { return TrapSizeParameter.Value.Value; }
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58 | set { TrapSizeParameter.Value.Value = value; }
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59 | }
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60 |
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61 | protected virtual int TrapMaximum {
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62 | get { return TrapSize; }
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63 | }
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64 |
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65 | public DeceptiveTrapProblem()
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66 | : base() {
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67 | Parameters.Add(new FixedValueParameter<IntValue>(TrapSizeParameterName, "", new IntValue(7)));
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68 | Encoding.Length = 49;
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69 | }
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70 |
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71 | // In the GECCO paper, calculates Equation 3
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72 | protected virtual int Score(BinaryVector individual, int trapIndex, int trapSize) {
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73 | int result = 0;
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74 | // count number of bits in trap set to 1
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75 | for (int index = trapIndex; index < trapIndex + trapSize; index++) {
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76 | if (individual[index]) result++;
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77 | }
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78 |
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79 | // Make it deceptive
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80 | if (result < trapSize) {
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81 | result = trapSize - result - 1;
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82 | }
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83 | return result;
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84 | }
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85 |
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86 | public override double Evaluate(BinaryVector individual, IRandom random) {
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87 | if (individual.Length != Length) throw new ArgumentException("The individual has not the correct length.");
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88 | int total = 0;
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89 | var trapSize = TrapSize;
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90 | for (int i = 0; i < individual.Length; i += trapSize) {
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91 | total += Score(individual, i, trapSize);
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92 | }
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93 | return (double)(total * trapSize) / (TrapMaximum * individual.Length);
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94 | }
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95 | }
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96 | }
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