1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 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 System.Linq;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Operators;
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28 | using HeuristicLab.Parameters;
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29 | using HEAL.Attic;
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30 |
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31 | namespace HeuristicLab.Optimization.Operators {
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32 | /// <summary>
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33 | /// FastNonDominatedSort as described in: Deb, Pratap, Agrawal and Meyarivan, "A Fast and Elitist Multiobjective
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34 | /// Genetic Algorithm: NSGA-II", IEEE Transactions On Evolutionary Computation, Vol. 6, No. 2, April 2002
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35 | /// </summary>
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36 | [Item("FastNonDominatedSort", @"FastNonDominatedSort as described in: Deb, Pratap, Agrawal and Meyarivan, ""A Fast and Elitist Multiobjective
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37 | Genetic Algorithm: NSGA-II"", IEEE Transactions On Evolutionary Computation, Vol. 6, No. 2, April 2002")]
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38 | [StorableType("0D1919E6-FCDE-4216-831A-E6427C3D986E")]
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39 | public class FastNonDominatedSort : SingleSuccessorOperator, IMultiObjectiveOperator {
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40 |
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41 | #region Parameter properties
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42 | public IValueLookupParameter<BoolArray> MaximizationParameter {
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43 | get { return (IValueLookupParameter<BoolArray>)Parameters["Maximization"]; }
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44 | }
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45 | public IValueLookupParameter<BoolValue> DominateOnEqualQualitiesParameter {
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46 | get { return (ValueLookupParameter<BoolValue>)Parameters["DominateOnEqualQualities"]; }
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47 | }
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48 | public IScopeTreeLookupParameter<DoubleArray> QualitiesParameter {
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49 | get { return (IScopeTreeLookupParameter<DoubleArray>)Parameters["Qualities"]; }
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50 | }
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51 | public IScopeTreeLookupParameter<IntValue> RankParameter {
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52 | get { return (IScopeTreeLookupParameter<IntValue>)Parameters["Rank"]; }
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53 | }
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54 | #endregion
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55 |
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56 | [StorableConstructor]
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57 | protected FastNonDominatedSort(StorableConstructorFlag _) : base(_) { }
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58 | protected FastNonDominatedSort(FastNonDominatedSort original, Cloner cloner) : base(original, cloner) { }
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59 | public FastNonDominatedSort() {
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60 | Parameters.Add(new ValueLookupParameter<BoolArray>("Maximization", "Whether each objective is maximization or minimization."));
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61 | Parameters.Add(new ValueLookupParameter<BoolValue>("DominateOnEqualQualities", "Flag which determines wether solutions with equal quality values should be treated as dominated."));
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62 | Parameters.Add(new ScopeTreeLookupParameter<DoubleArray>("Qualities", "The qualities of a solution.", 1));
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63 | Parameters.Add(new ScopeTreeLookupParameter<IntValue>("Rank", "The rank of a solution.", 1));
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64 | }
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65 |
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66 | public override IOperation Apply() {
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67 | bool dominateOnEqualQualities = DominateOnEqualQualitiesParameter.ActualValue.Value;
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68 | bool[] maximization = MaximizationParameter.ActualValue.ToArray();
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69 | double[][] qualities = QualitiesParameter.ActualValue.Select(x => x.ToArray()).ToArray();
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70 | if (qualities == null) throw new InvalidOperationException(Name + ": No qualities found.");
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71 |
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72 | IScope scope = ExecutionContext.Scope;
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73 | int populationSize = scope.SubScopes.Count;
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74 |
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75 | int[] rank;
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76 | var fronts = DominationCalculator<IScope>.CalculateAllParetoFronts(scope.SubScopes.ToArray(), qualities, maximization, out rank, dominateOnEqualQualities);
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77 |
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78 | RankParameter.ActualValue = new ItemArray<IntValue>(rank.Select(x => new IntValue(x)));
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79 |
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80 | scope.SubScopes.Clear();
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81 |
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82 | for (var i = 0; i < fronts.Count; i++) {
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83 | Scope frontScope = new Scope("Front " + i);
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84 | foreach (var p in fronts[i])
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85 | frontScope.SubScopes.Add(p.Item1);
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86 | if (frontScope.SubScopes.Count > 0)
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87 | scope.SubScopes.Add(frontScope);
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88 | }
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89 | return base.Apply();
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90 | }
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91 |
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92 | public override IDeepCloneable Clone(Cloner cloner) {
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93 | return new FastNonDominatedSort(this, cloner);
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94 | }
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95 |
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96 | [StorableHook(HookType.AfterDeserialization)]
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97 | private void AfterDeserialization() {
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98 | // BackwardsCompatibility3.3
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99 | #region Backwards compatible code, remove with 3.4
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100 | if (!Parameters.ContainsKey("DominateOnEqualQualities"))
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101 | Parameters.Add(new ValueLookupParameter<BoolValue>("DominateOnEqualQualities", "Flag which determines wether solutions with equal quality values should be treated as dominated."));
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102 | #endregion
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103 | }
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104 | }
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105 | }
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