1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2015 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 HeuristicLab.Analysis;
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23 | using HeuristicLab.Collections;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Common.Resources;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.MainForm;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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31 | using HeuristicLab.Persistence.Default.Xml;
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32 | using System;
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33 | using System.Collections.Generic;
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34 | using System.ComponentModel;
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35 | using System.Drawing;
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36 | using System.IO;
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37 | using System.Linq;
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38 | using System.Threading;
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39 | using System.Threading.Tasks;
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40 | using RunCreationClient = HeuristicLab.Clients.OKB.RunCreation.RunCreationClient;
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41 | using SingleObjectiveOKBProblem = HeuristicLab.Clients.OKB.RunCreation.SingleObjectiveOKBProblem;
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42 |
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43 | namespace HeuristicLab.OptimizationExpertSystem {
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44 | [Item("Expert-System", "Currently in experimental phase, an expert system that makes algorithm suggestions based on fitness landscape analysis features and an optimization knowledge base.")]
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45 | [StorableClass]
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46 | [Creatable(CreatableAttribute.Categories.TestingAndAnalysis, Priority = 119)]
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47 | public sealed class ExpertSystem : NamedItem, IStorableContent, INotifyPropertyChanged {
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48 |
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49 | public string Filename { get; set; }
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50 |
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51 | public static new Image StaticItemImage {
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52 | get { return VSImageLibrary.Library; }
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53 | }
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54 |
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55 | [Storable]
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56 | private int maximumEvaluations;
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57 | public int MaximumEvaluations {
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58 | get { return maximumEvaluations; }
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59 | set {
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60 | if (maximumEvaluations == value) return;
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61 | maximumEvaluations = value;
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62 | OnPropertyChanged("MaximumEvaluations");
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63 | UpdateSuggestions();
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64 | }
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65 | }
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66 |
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67 | [Storable]
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68 | private RunCollection runs;
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69 | public RunCollection Runs {
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70 | get { return runs; }
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71 | }
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72 |
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73 | [Storable]
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74 | private RunCollection knowledgeBase;
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75 | public RunCollection KnowledgeBase {
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76 | get { return knowledgeBase; }
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77 | set {
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78 | if (knowledgeBase == value) return;
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79 | knowledgeBase = value;
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80 | OnPropertyChanged("KnowledgeBase");
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81 | }
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82 | }
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83 |
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84 | [Storable]
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85 | private SingleObjectiveOKBProblem problem;
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86 | public SingleObjectiveOKBProblem Problem {
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87 | get { return problem; }
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88 | set {
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89 | if (problem == value) return;
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90 | problem = value;
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91 | OnPropertyChanged("Problem");
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92 | UpdateSuggestions();
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93 | }
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94 | }
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95 |
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96 | [Storable]
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97 | private ItemList<IAlgorithm> suggestedInstances;
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98 | private ReadOnlyItemList<IAlgorithm> readOnlySuggestedInstances;
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99 | public ReadOnlyItemList<IAlgorithm> SuggestedInstances {
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100 | get { return readOnlySuggestedInstances; }
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101 | }
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102 |
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103 | [Storable]
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104 | private RunCollection problemInstances;
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105 | public RunCollection ProblemInstances {
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106 | get { return problemInstances; }
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107 | set {
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108 | if (problemInstances == value) return;
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109 | problemInstances = value;
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110 | OnPropertyChanged("ProblemInstances");
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111 | }
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112 | }
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113 |
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114 | [Storable]
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115 | private ResultCollection currentResult;
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116 | public ResultCollection CurrentResult {
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117 | get { return currentResult; }
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118 | set {
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119 | if (currentResult == value) return;
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120 | currentResult = value;
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121 | OnPropertyChanged("CurrentResult");
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122 | }
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123 | }
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124 |
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125 | [Storable]
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126 | private BidirectionalLookup<long, IRun> algorithmId2RunMapping;
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127 | [Storable]
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128 | private BidirectionalDictionary<long, IAlgorithm> algorithmId2AlgorithmInstanceMapping;
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129 |
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130 | [Storable]
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131 | private Run currentInstance;
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132 |
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133 | private bool Maximization {
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134 | get {
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135 | return Problem != null && Problem.ProblemId >= 0 && ((IValueParameter<BoolValue>)Problem.MaximizationParameter).Value.Value;
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136 | }
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137 | }
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138 |
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139 | [StorableConstructor]
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140 | private ExpertSystem(bool deserializing) : base(deserializing) { }
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141 | private ExpertSystem(ExpertSystem original, Cloner cloner)
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142 | : base(original, cloner) {
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143 | runs = cloner.Clone(original.runs);
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144 | knowledgeBase = cloner.Clone(original.knowledgeBase);
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145 | suggestedInstances = cloner.Clone(original.suggestedInstances);
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146 | readOnlySuggestedInstances = suggestedInstances.AsReadOnly();
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147 | problemInstances = cloner.Clone(original.problemInstances);
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148 | problem = cloner.Clone(original.problem);
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149 | algorithmId2RunMapping = new BidirectionalLookup<long, IRun>();
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150 | foreach (var kvp in original.algorithmId2RunMapping.FirstEnumerable) {
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151 | algorithmId2RunMapping.AddRangeFirst(kvp.Key, kvp.Select(cloner.Clone));
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152 | }
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153 | algorithmId2AlgorithmInstanceMapping = new BidirectionalDictionary<long, IAlgorithm>();
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154 | foreach (var kvp in original.algorithmId2AlgorithmInstanceMapping) {
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155 | algorithmId2AlgorithmInstanceMapping.Add(kvp.Key, cloner.Clone(kvp.Value));
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156 | }
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157 | currentInstance = cloner.Clone(original.currentInstance);
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158 | RegisterEventHandlers();
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159 | }
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160 | public ExpertSystem() {
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161 | Name = ItemName;
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162 | Description = ItemDescription;
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163 | runs = new RunCollection();
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164 | knowledgeBase = new RunCollection();
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165 | suggestedInstances = new ItemList<IAlgorithm>();
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166 | readOnlySuggestedInstances = suggestedInstances.AsReadOnly();
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167 | problemInstances = new RunCollection();
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168 | problem = new SingleObjectiveOKBProblem();
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169 | algorithmId2RunMapping = new BidirectionalLookup<long, IRun>();
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170 | algorithmId2AlgorithmInstanceMapping = new BidirectionalDictionary<long, IAlgorithm>();
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171 | RegisterEventHandlers();
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172 | }
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173 |
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174 | private void ProblemOnProblemChanged(object sender, EventArgs eventArgs) {
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175 | if (Problem == null) return;
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176 | }
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177 |
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178 | public override IDeepCloneable Clone(Cloner cloner) {
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179 | return new ExpertSystem(this, cloner);
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180 | }
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181 |
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182 | [StorableHook(HookType.AfterDeserialization)]
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183 | private void AfterDeserialization() {
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184 | readOnlySuggestedInstances = suggestedInstances.AsReadOnly();
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185 | RegisterEventHandlers();
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186 | }
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187 |
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188 | private void RegisterEventHandlers() {
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189 | problem.ProblemChanged += ProblemOnProblemChanged;
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190 | runs.CollectionReset += InformationChanged;
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191 | runs.ItemsAdded += InformationChanged;
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192 | runs.ItemsRemoved += InformationChanged;
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193 | runs.Reset += InformationChanged;
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194 | runs.UpdateOfRunsInProgressChanged += InformationChanged;
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195 | knowledgeBase.CollectionReset += InformationChanged;
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196 | knowledgeBase.ItemsAdded += InformationChanged;
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197 | knowledgeBase.ItemsRemoved += InformationChanged;
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198 | }
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199 |
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200 | private void InformationChanged(object sender, EventArgs e) {
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201 | var runCollection = sender as RunCollection;
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202 | if (runCollection != null && runCollection.UpdateOfRunsInProgress) return;
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203 | UpdateSuggestions();
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204 | }
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205 |
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206 | public void UpdateInstanceProjection() {
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207 | currentInstance = null;
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208 | var filter = new HashSet<string>();
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209 |
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210 | if (Problem.ProblemId != -1) {
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211 | currentInstance = new Run { Name = Problem.Name };
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212 | Problem.Problem.CollectParameterValues(currentInstance.Parameters);
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213 | foreach (var c in RunCreationClient.GetCharacteristicValues(Problem.ProblemId)) {
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214 | var key = "Characteristic." + c.Name;
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215 | currentInstance.Results.Add(key, RunCreationClient.Instance.ConvertToItem(c));
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216 | filter.Add(key);
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217 | }
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218 | }
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219 | // TODO: There is a problem with missing values that has to be solved
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220 | // The common set of characteristics among all problems may be too small to be useful
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221 | // It has to be decided somehow which problem instances to include in order to obtain the set of features that is expressive and available
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222 | var allCharacteristics = ProblemInstances.Select(x => new HashSet<string>(x.Results.Where(y => y.Key.StartsWith("Characteristic.", StringComparison.Ordinal)).Select(y => y.Key))).ToList();
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223 | var commonCharacteristics = filter.Count > 0 ? filter : allCharacteristics[0];
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224 | for (var i = 0; i < allCharacteristics.Count; i++)
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225 | commonCharacteristics.IntersectWith(allCharacteristics[i]);
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226 |
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227 | if (commonCharacteristics.Count == 0) return;
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228 |
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229 | var instances = new Dictionary<string, double[]>();
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230 | foreach (var i in ProblemInstances)
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231 | instances[i.Name] = i.Results.Where(x => commonCharacteristics.Contains(x.Key)).OrderBy(x => x.Key).Select(x => (double)((dynamic)x.Value).Value).ToArray();
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232 | if (currentInstance != null)
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233 | instances[currentInstance.Name] = currentInstance.Results.Where(x => commonCharacteristics.Contains(x.Key)).OrderBy(x => x.Key).Select(x => (double)((dynamic)x.Value).Value).ToArray();
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234 |
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235 | var allValues = instances.SelectMany(x => x.Value).ToList();
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236 | var avg = allValues.Average();
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237 | var stdev = allValues.StandardDeviation();
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238 |
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239 | // normalize characteristic values by transforming them to their z-score
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240 | foreach (var key in instances.Keys.ToList()) {
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241 | var arr = instances[key];
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242 | for (var i = 0; i < arr.Length; i++) {
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243 | arr[i] = (arr[i] - avg) / stdev;
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244 | }
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245 | }
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246 |
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247 | var key2Idx = new BidirectionalDictionary<string, int>();
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248 | foreach (var kvp in instances.Select((k, i) => new { Index = i, Key = k.Key }))
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249 | key2Idx.Add(kvp.Key, kvp.Index);
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250 |
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251 | #region MDS
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252 | Func<double[], double[], double> euclid = (a, b) => Math.Sqrt(a.Zip(b, (x, y) => (x - y)).Sum(x => x * x));
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253 | var num = instances.Count;
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254 | var matrix = new DoubleMatrix(num, num);
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255 | for (var i = 0; i < num - 1; i++) {
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256 | for (var j = i + 1; j < num; j++) {
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257 | matrix[i, j] = matrix[j, i] = euclid(instances[key2Idx.GetBySecond(i)], instances[key2Idx.GetBySecond(j)]);
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258 | }
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259 | }
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260 |
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261 | var coords = MultidimensionalScaling.KruskalShepard(matrix);
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262 | #endregion
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263 | #region PCA
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264 | var ds = new double[instances.Count, commonCharacteristics.Count];
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265 | foreach (var instance in instances) {
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266 | var arr = instance.Value;
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267 | for (var feature = 0; feature < arr.Length; feature++)
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268 | ds[key2Idx.GetByFirst(instance.Key), feature] = arr[feature];
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269 | }
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270 |
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271 | int info;
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272 | double[] s2;
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273 | double[,] v;
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274 | alglib.pcabuildbasis(ds, ds.GetLength(0), ds.GetLength(1), out info, out s2, out v);
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275 | #endregion
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276 |
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277 | ProblemInstances.UpdateOfRunsInProgress = true;
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278 | try {
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279 | foreach (var instance in ProblemInstances) {
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280 | double x = 0, y = 0;
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281 | for (var feature = 0; feature < ds.GetLength(1); feature++) {
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282 | x += ds[key2Idx.GetByFirst(instance.Name), feature] * v[feature, 0];
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283 | y += ds[key2Idx.GetByFirst(instance.Name), feature] * v[feature, 1];
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284 | }
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285 |
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286 | IItem item;
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287 | if (instance.Results.TryGetValue("Projection.PCA.X", out item)) {
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288 | ((DoubleValue)item).Value = x;
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289 | } else instance.Results.Add("Projection.PCA.X", new DoubleValue(x));
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290 | if (instance.Results.TryGetValue("Projection.PCA.Y", out item)) {
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291 | ((DoubleValue)item).Value = y;
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292 | } else instance.Results.Add("Projection.PCA.Y", new DoubleValue(y));
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293 |
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294 | if (instance.Results.TryGetValue("Projection.MDS.X", out item)) {
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295 | ((DoubleValue)item).Value = coords[key2Idx.GetByFirst(instance.Name), 0];
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296 | } else instance.Results.Add("Projection.MDS.X", new DoubleValue(coords[key2Idx.GetByFirst(instance.Name), 0]));
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297 | if (instance.Results.TryGetValue("Projection.MDS.Y", out item)) {
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298 | ((DoubleValue)item).Value = coords[key2Idx.GetByFirst(instance.Name), 1];
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299 | } else instance.Results.Add("Projection.MDS.Y", new DoubleValue(coords[key2Idx.GetByFirst(instance.Name), 1]));
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300 | }
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301 | } finally { ProblemInstances.UpdateOfRunsInProgress = false; }
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302 |
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303 | if (currentInstance != null) {
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304 | double x = 0, y = 0;
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305 | for (var feature = 0; feature < ds.GetLength(1); feature++) {
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306 | x += ds[key2Idx.GetByFirst(currentInstance.Name), feature] * v[feature, 0];
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307 | y += ds[key2Idx.GetByFirst(currentInstance.Name), feature] * v[feature, 1];
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308 | }
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309 |
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310 | IItem item;
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311 | if (currentInstance.Results.TryGetValue("Projection.PCA.X", out item)) {
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312 | ((DoubleValue)item).Value = x;
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313 | } else currentInstance.Results.Add("Projection.PCA.X", new DoubleValue(x));
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314 | if (currentInstance.Results.TryGetValue("Projection.PCA.Y", out item)) {
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315 | ((DoubleValue)item).Value = y;
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316 | } else currentInstance.Results.Add("Projection.PCA.Y", new DoubleValue(y));
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317 |
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318 | if (currentInstance.Results.TryGetValue("Projection.MDS.X", out item)) {
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319 | ((DoubleValue)item).Value = coords[key2Idx.GetByFirst(currentInstance.Name), 0];
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320 | } else currentInstance.Results.Add("Projection.MDS.X", new DoubleValue(coords[key2Idx.GetByFirst(currentInstance.Name), 0]));
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321 | if (currentInstance.Results.TryGetValue("Projection.MDS.Y", out item)) {
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322 | ((DoubleValue)item).Value = coords[key2Idx.GetByFirst(currentInstance.Name), 1];
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323 | } else currentInstance.Results.Add("Projection.MDS.Y", new DoubleValue(coords[key2Idx.GetByFirst(currentInstance.Name), 1]));
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324 | }
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325 | }
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326 |
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327 | public Tuple<double, double> ProjectCurrentInstance(string projection) {
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328 | if (currentInstance == null) return null;
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329 | var xKey = "Projection." + projection + ".X";
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330 | var yKey = "Projection." + projection + ".Y";
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331 | if (!currentInstance.Results.ContainsKey(xKey) || !currentInstance.Results.ContainsKey(yKey))
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332 | return null;
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333 | var x = ((DoubleValue)currentInstance.Results[xKey]).Value;
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334 | var y = ((DoubleValue)currentInstance.Results[yKey]).Value;
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335 | return Tuple.Create(x, y);
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336 | }
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337 |
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338 | private static readonly HashSet<string> InterestingValueNames = new HashSet<string>() {
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339 | "QualityPerEvaluations", "Problem Name", "Problem Type", "Algorithm Name", "Algorithm Type", "Maximization", "BestKnownQuality"
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340 | };
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341 |
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342 | public async void StartAlgorithmAsync(int index) {
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343 | var selectedInstance = suggestedInstances[index];
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344 | var algorithm = (IAlgorithm)selectedInstance.Clone();
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345 | algorithm.Prepare(true);
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346 | IParameter stopParam;
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347 | var monitorStop = true;
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348 | if (algorithm.Parameters.TryGetValue("MaximumEvaluations", out stopParam)) {
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349 | var maxEvalParam = stopParam as IValueParameter<Data.IntValue>;
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350 | if (maxEvalParam != null) {
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351 | maxEvalParam.Value.Value = MaximumEvaluations;
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352 | monitorStop = false;
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353 | }
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354 | }
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355 | algorithm.ExecutionStateChanged += AlgorithmOnExecutionStateChanged;
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356 | algorithm.ExceptionOccurred += AlgorithmOnExceptionOccurred;
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357 | if (monitorStop) algorithm.ExecutionTimeChanged += AlgorithmOnExecutionTimeChanged;
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358 |
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359 | algorithm.Start();
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360 | }
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361 |
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362 | public void StartAlgorithm(int index) {
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363 | var selectedInstance = suggestedInstances[index];
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364 | var algorithm = (IAlgorithm)selectedInstance.Clone();
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365 | algorithm.Prepare(true);
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366 | IParameter stopParam;
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367 | var monitorStop = true;
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368 | if (algorithm.Parameters.TryGetValue("MaximumEvaluations", out stopParam)) {
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369 | var maxEvalParam = stopParam as IValueParameter<Data.IntValue>;
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370 | if (maxEvalParam != null) {
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371 | maxEvalParam.Value.Value = MaximumEvaluations;
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372 | monitorStop = false;
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373 | }
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374 | }
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375 | algorithm.ExecutionStateChanged += AlgorithmOnExecutionStateChanged;
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376 | algorithm.ExceptionOccurred += AlgorithmOnExceptionOccurred;
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377 | if (monitorStop) algorithm.ExecutionTimeChanged += AlgorithmOnExecutionTimeChanged;
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378 |
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379 | using (algWh = new AutoResetEvent(false)) {
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380 | algorithm.Start();
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381 | algWh.WaitOne();
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382 | }
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383 | algWh = null;
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384 | }
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385 |
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386 | private AutoResetEvent algWh;
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387 |
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388 | private void AlgorithmOnExecutionStateChanged(object sender, EventArgs eventArgs) {
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389 | var alg = sender as IAlgorithm;
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390 | if (alg == null) return;
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391 | if (alg.ExecutionState == ExecutionState.Started) {
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392 | CurrentResult = alg.Results;
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393 | } else if (alg.ExecutionState == ExecutionState.Stopped) {
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394 | alg.ExecutionStateChanged -= AlgorithmOnExecutionStateChanged;
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395 | alg.ExceptionOccurred -= AlgorithmOnExceptionOccurred;
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396 | alg.ExecutionTimeChanged -= AlgorithmOnExecutionTimeChanged;
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397 | if (algWh != null) algWh.Set();
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398 | }
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399 | }
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400 |
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401 | private void AlgorithmOnExceptionOccurred(object sender, EventArgs<Exception> eventArgs) {
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402 | var alg = sender as IAlgorithm;
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403 | if (alg == null) return;
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404 | alg.ExecutionStateChanged -= AlgorithmOnExecutionStateChanged;
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405 | alg.ExceptionOccurred -= AlgorithmOnExceptionOccurred;
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406 | alg.ExecutionTimeChanged -= AlgorithmOnExecutionTimeChanged;
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407 | if (algWh != null) algWh.Set();
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408 | }
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409 |
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410 | private void AlgorithmOnExecutionTimeChanged(object sender, EventArgs eventArgs) {
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411 | var alg = sender as IAlgorithm;
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412 | if (alg == null) return;
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413 | IResult evalSolResult;
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414 | if (!alg.Results.TryGetValue("EvaluatedSolutions", out evalSolResult) || !(evalSolResult.Value is Data.IntValue)) return;
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415 | var evalSols = ((Data.IntValue)evalSolResult.Value).Value;
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416 | if (evalSols >= MaximumEvaluations) alg.Stop();
|
---|
417 | }
|
---|
418 |
|
---|
419 | public async void UpdateKnowledgeBaseAsync(IProgress progress) {
|
---|
420 | progress.Start("Updating Knowledge Base from OKB");
|
---|
421 | await Task.Factory.StartNew(() => { DoUpdateKnowledgeBase(progress); }, TaskCreationOptions.LongRunning);
|
---|
422 | }
|
---|
423 |
|
---|
424 | public void UpdateKnowledgeBase() {
|
---|
425 | DoUpdateKnowledgeBase(new Progress(string.Empty, ProgressState.Started));
|
---|
426 | }
|
---|
427 |
|
---|
428 | private void DoUpdateKnowledgeBase(IProgress progress) {
|
---|
429 | var queryClient = Clients.OKB.Query.QueryClient.Instance;
|
---|
430 | var adminClient = Clients.OKB.Administration.AdministrationClient.Instance;
|
---|
431 | try {
|
---|
432 | progress.Status = "Downloading run information...";
|
---|
433 | progress.ProgressValue = 0;
|
---|
434 | // FIXME: How to tell if refresh is necessary?
|
---|
435 | queryClient.Refresh();
|
---|
436 | progress.ProgressValue = 0.5;
|
---|
437 | progress.Status = "Downloading algorithm and problem instance information...";
|
---|
438 | // FIXME: How to tell if refresh is necessary?
|
---|
439 | adminClient.Refresh();
|
---|
440 |
|
---|
441 | var probInstance = adminClient.Problems.SingleOrDefault(x => x.Id == Problem.ProblemId);
|
---|
442 | if (probInstance == null) throw new InvalidOperationException("The chosen problem instance cannot be found in the OKB.");
|
---|
443 | var probClassId = probInstance.ProblemClassId;
|
---|
444 |
|
---|
445 | var problemClassFilter = (Clients.OKB.Query.StringComparisonAvailableValuesFilter)queryClient.Filters.Single(x => x.Label == "Problem Class Name");
|
---|
446 | problemClassFilter.Value = adminClient.ProblemClasses.Single(x => x.Id == probClassId).Name;
|
---|
447 |
|
---|
448 | progress.Status = "Downloading problem instances...";
|
---|
449 | progress.ProgressValue = 0;
|
---|
450 | var p = 0;
|
---|
451 | ProblemInstances.UpdateOfRunsInProgress = true;
|
---|
452 | ProblemInstances.Clear();
|
---|
453 | var totalProblems = adminClient.Problems.Count(x => x.ProblemClassId == probClassId);
|
---|
454 | foreach (var problInst in adminClient.Problems.Where(x => x.ProblemClassId == probClassId)) {
|
---|
455 | progress.Status = string.Format("Downloading problem {0} (okb-id: {1})....", problInst.Name, problInst.Id);
|
---|
456 | var data = Clients.OKB.Administration.AdministrationClient.GetProblemData(problInst.Id);
|
---|
457 | if (data != null) {
|
---|
458 | using (var stream = new MemoryStream(data)) {
|
---|
459 | try {
|
---|
460 | var prob = (IProblem)XmlParser.Deserialize<IContent>(stream);
|
---|
461 | var probRun = new Run() { Name = prob.Name };
|
---|
462 | prob.CollectParameterValues(probRun.Parameters);
|
---|
463 | probRun.Parameters["Problem Name"] = new StringValue(prob.Name);
|
---|
464 | probRun.Parameters["Problem Type"] = new StringValue(prob.GetType().Name);
|
---|
465 | progress.Status += Environment.NewLine + "Downloading characteristics...";
|
---|
466 | foreach (var v in RunCreationClient.GetCharacteristicValues(problInst.Id)) {
|
---|
467 | probRun.Results.Add("Characteristic." + v.Name, RunCreationClient.Instance.ConvertToItem(v));
|
---|
468 | }
|
---|
469 | ProblemInstances.Add(probRun);
|
---|
470 | } catch { }
|
---|
471 | stream.Close();
|
---|
472 | }
|
---|
473 | }
|
---|
474 | p++;
|
---|
475 | progress.ProgressValue = p / (double)totalProblems;
|
---|
476 | }
|
---|
477 |
|
---|
478 | algorithmId2AlgorithmInstanceMapping.Clear();
|
---|
479 | progress.Status = "Downloading algorithm instances...";
|
---|
480 | progress.ProgressValue = 0;
|
---|
481 | p = 0;
|
---|
482 | foreach (var algInst in adminClient.Algorithms) {
|
---|
483 | progress.Status = string.Format("Downloading algorithm {0} (okb-id: {1})...", algInst.Name, algInst.Id);
|
---|
484 | var data = Clients.OKB.Administration.AdministrationClient.GetAlgorithmData(algInst.Id);
|
---|
485 | if (data != null) {
|
---|
486 | using (var stream = new MemoryStream(data)) {
|
---|
487 | try {
|
---|
488 | var alg = (IAlgorithm)XmlParser.Deserialize<IContent>(stream);
|
---|
489 | algorithmId2AlgorithmInstanceMapping.Add(algInst.Id, alg);
|
---|
490 | } catch { }
|
---|
491 | stream.Close();
|
---|
492 | }
|
---|
493 | }
|
---|
494 | p++;
|
---|
495 | progress.ProgressValue = p / (double)adminClient.Algorithms.Count;
|
---|
496 | }
|
---|
497 |
|
---|
498 | var interestingValues = queryClient.ValueNames.Where(x => InterestingValueNames.Contains(x.Name)).ToList();
|
---|
499 |
|
---|
500 | progress.Status = "Obtaining number of runs...";
|
---|
501 | progress.ProgressValue = 0;
|
---|
502 | p = 0;
|
---|
503 | var count = queryClient.GetNumberOfRuns(problemClassFilter);
|
---|
504 | if (count == 0) return;
|
---|
505 |
|
---|
506 | var runIds = queryClient.GetRunIds(problemClassFilter).ToList();
|
---|
507 | var conversions = new List<Task>();
|
---|
508 | var runList = new List<IRun>();
|
---|
509 | while (p < count) {
|
---|
510 | var nextIds = runIds.Skip(p).Take(500).ToList();
|
---|
511 | progress.Status = string.Format("Downloading runs {0} to {1} of {2}...", p, p + nextIds.Count, count);
|
---|
512 | var okbRuns = queryClient.GetRunsWithValues(nextIds, true, interestingValues);
|
---|
513 | conversions.Add(Task.Factory.StartNew(() => {
|
---|
514 | var hlRuns = okbRuns.AsParallel().Select(x => new { AlgorithmId = x.Algorithm.Id, Run = queryClient.ConvertToOptimizationRun(x) }).ToList();
|
---|
515 | lock (runList) {
|
---|
516 | foreach (var r in hlRuns) {
|
---|
517 | algorithmId2RunMapping.Add(r.AlgorithmId, r.Run);
|
---|
518 | runList.Add(r.Run);
|
---|
519 | }
|
---|
520 | }
|
---|
521 | }));
|
---|
522 | p += nextIds.Count;
|
---|
523 | progress.ProgressValue = p / (double)count;
|
---|
524 | }
|
---|
525 | Task.WaitAll(conversions.ToArray());
|
---|
526 |
|
---|
527 | progress.Status = "Finishing...";
|
---|
528 | var algInstRunDict = runList.Where(x => x.Parameters.ContainsKey("Problem Name") && x.Parameters["Problem Name"] is StringValue)
|
---|
529 | .GroupBy(x => ((StringValue)x.Parameters["Problem Name"]).Value)
|
---|
530 | .ToDictionary(x => x.Key, x => x.GroupBy(y => ((StringValue)y.Parameters["Algorithm Name"]).Value)
|
---|
531 | .ToDictionary(y => y.Key, y => y.ToList()));
|
---|
532 |
|
---|
533 | foreach (var instance in ProblemInstances) {
|
---|
534 | IItem probNameParam;
|
---|
535 | if (!instance.Parameters.TryGetValue("Problem Name", out probNameParam)) continue;
|
---|
536 |
|
---|
537 | var probInstanceName = ((StringValue)probNameParam).Value;
|
---|
538 | var maximization = ((BoolValue)instance.Parameters["Maximization"]).Value;
|
---|
539 |
|
---|
540 | IItem bkParam;
|
---|
541 | if (!instance.Parameters.TryGetValue("BestKnownQuality", out bkParam) || !(bkParam is DoubleValue)) {
|
---|
542 | Dictionary<string, List<IRun>> algRuns;
|
---|
543 | if (!algInstRunDict.TryGetValue(probInstanceName, out algRuns)) continue;
|
---|
544 | var list = algRuns.SelectMany(x => x.Value)
|
---|
545 | .Where(x => x.Results.ContainsKey("QualityPerEvaluations"))
|
---|
546 | .Select(x => ((IndexedDataTable<double>)x.Results["QualityPerEvaluations"]).Rows.First().Values.Last().Item2);
|
---|
547 | bkParam = new DoubleValue(maximization ? list.Max() : list.Min());
|
---|
548 | instance.Parameters["BestKnownQuality"] = bkParam;
|
---|
549 | } else bkParam = instance.Parameters["BestKnownQuality"];
|
---|
550 |
|
---|
551 | var bkQuality = ((DoubleValue)bkParam).Value;
|
---|
552 |
|
---|
553 | if (!algInstRunDict.ContainsKey(probInstanceName)) continue;
|
---|
554 | foreach (var kvp in algInstRunDict[probInstanceName]) {
|
---|
555 | // TODO: Things needs to be configurable here (table name, targets)
|
---|
556 | foreach (var target in new[] { 1, 1.01, 1.05, 1.1, 1.2, 1.5 }) {
|
---|
557 | var result = ExpectedRuntimeHelper.CalculateErt(kvp.Value, "QualityPerEvaluations", bkQuality * target, maximization);
|
---|
558 | var resultName = kvp.Key + "@" + ((target - 1) * 100) + "%";
|
---|
559 | IItem item;
|
---|
560 | if (instance.Results.TryGetValue(resultName, out item)) {
|
---|
561 | ((DoubleValue)item).Value = Math.Log10(result.ExpectedRuntime);
|
---|
562 | } else instance.Results.Add(resultName, new DoubleValue(Math.Log10(result.ExpectedRuntime)));
|
---|
563 | }
|
---|
564 | }
|
---|
565 | }
|
---|
566 | KnowledgeBase = new RunCollection(runList);
|
---|
567 | } finally { progress.Finish(); ProblemInstances.UpdateOfRunsInProgress = false; }
|
---|
568 | }
|
---|
569 |
|
---|
570 | private void UpdateSuggestions() {
|
---|
571 | if (Problem == null) return;
|
---|
572 | var instances = new SortedList<double, IAlgorithm>();
|
---|
573 | foreach (var relevantRuns in knowledgeBase.GroupBy(x => algorithmId2RunMapping.GetBySecond(x).Single())) {
|
---|
574 | var algorithm = algorithmId2AlgorithmInstanceMapping.GetByFirst(relevantRuns.Key);
|
---|
575 | var avgQuality = 0.0;
|
---|
576 | var counter = 0;
|
---|
577 | foreach (var problemRuns in relevantRuns.GroupBy(x => ((StringValue)x.Parameters["Problem Name"]).Value)) {
|
---|
578 | var probInstance = ProblemInstances.SingleOrDefault(x => x.Name == problemRuns.Key);
|
---|
579 | if (probInstance == null) continue;
|
---|
580 | var bkQuality = ((DoubleValue)probInstance.Parameters["BestKnownQuality"]).Value;
|
---|
581 | foreach (var run in problemRuns) {
|
---|
582 | var performanceGraph = ((IndexedDataTable<double>)run.Results["QualityPerEvaluations"]);
|
---|
583 | try {
|
---|
584 | avgQuality += performanceGraph.Rows.First().Values.TakeWhile(x => x.Item1 < MaximumEvaluations).Last().Item2 / bkQuality;
|
---|
585 | counter++;
|
---|
586 | } catch {
|
---|
587 | continue;
|
---|
588 | }
|
---|
589 | }
|
---|
590 | }
|
---|
591 | avgQuality /= counter;
|
---|
592 | instances.Add(avgQuality, algorithm);
|
---|
593 | }
|
---|
594 |
|
---|
595 | suggestedInstances.Clear();
|
---|
596 | var instanceLadder = instances.Select(x => (IAlgorithm)x.Value.Clone()).ToList();
|
---|
597 | if (Maximization) instanceLadder.Reverse();
|
---|
598 | suggestedInstances.AddRange(instanceLadder);
|
---|
599 | }
|
---|
600 |
|
---|
601 | public event PropertyChangedEventHandler PropertyChanged;
|
---|
602 | private void OnPropertyChanged(string propertyName) {
|
---|
603 | var handler = PropertyChanged;
|
---|
604 | if (handler != null) handler(this, new PropertyChangedEventArgs(propertyName));
|
---|
605 | }
|
---|
606 | }
|
---|
607 | }
|
---|