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.Collections.Generic;
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24 | using System.Linq;
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25 | using System.Threading;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Optimization;
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28 |
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29 | namespace HeuristicLab.Problems.Programmable {
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30 | public abstract class CompiledProblemDefinition<TEncoding, TEncodedSolution> : IProblemDefinition<TEncoding, TEncodedSolution>
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31 | where TEncoding : class, IEncoding
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32 | where TEncodedSolution : class, IEncodedSolution {
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33 | private TEncoding encoding;
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34 | public TEncoding Encoding {
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35 | get { return encoding; }
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36 | internal set {
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37 | if (value == null) throw new ArgumentNullException("The encoding must not be null.");
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38 | encoding = value;
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39 | }
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40 | }
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41 |
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42 | public dynamic vars { get; set; }
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43 | public abstract void Initialize();
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44 |
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45 | protected CompiledProblemDefinition() { }
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46 | protected CompiledProblemDefinition(TEncoding encoding)
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47 | : base() {
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48 | Encoding = encoding;
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49 | }
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50 | }
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51 |
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52 | public abstract class CompiledSingleObjectiveProblemDefinition<TEncoding, TEncodedSolution> : CompiledProblemDefinition<TEncoding, TEncodedSolution>, ISingleObjectiveProblemDefinition<TEncoding, TEncodedSolution>
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53 | where TEncoding : class, IEncoding
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54 | where TEncodedSolution : class, IEncodedSolution {
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55 | protected CompiledSingleObjectiveProblemDefinition() : base() { }
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56 |
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57 | protected CompiledSingleObjectiveProblemDefinition(TEncoding encoding)
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58 | : base(encoding) { }
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59 |
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60 | #region ISingleObjectiveProblemDefinition<TEncoding,TEncodedSolution> Members
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61 | public abstract bool Maximization { get; }
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62 |
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63 | public virtual ISingleObjectiveEvaluationResult Evaluate(TEncodedSolution solution, IRandom random) {
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64 | return Evaluate(solution, random, CancellationToken.None);
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65 | }
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66 | public abstract ISingleObjectiveEvaluationResult Evaluate(TEncodedSolution solution, IRandom random, CancellationToken cancellationToken);
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67 |
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68 | public virtual void Evaluate(ISingleObjectiveSolutionContext<TEncodedSolution> solutionContext, IRandom random) {
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69 | Evaluate(solutionContext, random, CancellationToken.None);
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70 | }
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71 | public virtual void Evaluate(ISingleObjectiveSolutionContext<TEncodedSolution> solutionContext, IRandom random, CancellationToken cancellationToken) {
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72 | var evaluationResult = Evaluate(solutionContext.EncodedSolution, random, cancellationToken);
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73 | solutionContext.EvaluationResult = evaluationResult;
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74 | }
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75 |
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76 |
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77 | public virtual void Analyze(ISingleObjectiveSolutionContext<TEncodedSolution>[] solutionContexts, IRandom random) { }
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78 |
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79 | public virtual IEnumerable<TEncodedSolution> GetNeighbors(TEncodedSolution solutions, IRandom random) {
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80 | return Enumerable.Empty<TEncodedSolution>();
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81 | }
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82 | public virtual IEnumerable<ISingleObjectiveSolutionContext<TEncodedSolution>> GetNeighbors(ISingleObjectiveSolutionContext<TEncodedSolution> solutionContext, IRandom random) {
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83 | return GetNeighbors(solutionContext.EncodedSolution, random).Select(n => new SingleObjectiveSolutionContext<TEncodedSolution>(n));
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84 | }
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85 |
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86 | public bool IsBetter(double quality, double bestQuality) {
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87 | return Maximization ? quality > bestQuality : quality < bestQuality;
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88 | }
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89 | #endregion
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90 | }
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91 |
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92 | public abstract class CompiledMultiObjectiveProblemDefinition<TEncoding, TEncodedSolution> : CompiledProblemDefinition<TEncoding, TEncodedSolution>, IMultiObjectiveProblemDefinition<TEncoding, TEncodedSolution>
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93 | where TEncoding : class, IEncoding
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94 | where TEncodedSolution : class, IEncodedSolution {
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95 | protected CompiledMultiObjectiveProblemDefinition() : base() { }
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96 |
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97 | protected CompiledMultiObjectiveProblemDefinition(TEncoding encoding)
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98 | : base(encoding) { }
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99 |
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100 | #region IMultiObjectiveProblemDefinition<TEncoding,TEncodedSolution> Members
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101 | public int Objectives => Maximization.Length;
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102 | public abstract bool[] Maximization { get; }
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103 | public abstract IReadOnlyList<double[]> BestKnownFront { get; }
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104 | public abstract double[] ReferencePoint { get; }
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105 |
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106 | public virtual double[] Evaluate(TEncodedSolution solution, IRandom random) {
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107 | return Evaluate(solution, random, CancellationToken.None);
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108 | }
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109 | public abstract double[] Evaluate(TEncodedSolution solution, IRandom random, CancellationToken cancellationToken);
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110 | public abstract void Analyze(TEncodedSolution[] individuals, double[][] qualities, ResultCollection results, IRandom random);
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111 | public abstract IEnumerable<TEncodedSolution> GetNeighbors(TEncodedSolution individual, IRandom random);
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112 | #endregion
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113 | }
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114 | } |
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