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 System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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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.Operators;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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32 |
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33 | namespace HeuristicLab.Analysis {
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34 | /// <summary>
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35 | /// An operator for analyzing the frequency of alleles.
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36 | /// </summary>
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37 | [Item("AlleleFrequencyAnalyzer", "An operator for analyzing the frequency of alleles.")]
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38 | [StorableType("4C00F2D1-F97B-4E86-ABD3-5960E9CFA8A7")]
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39 | public abstract class AlleleFrequencyAnalyzer<T> : SingleSuccessorOperator, IAnalyzer, ISingleObjectiveOperator where T : class, IItem {
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40 | public virtual bool EnabledByDefault {
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41 | get { return false; }
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42 | }
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43 |
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44 | public LookupParameter<BoolValue> MaximizationParameter {
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45 | get { return (LookupParameter<BoolValue>)Parameters["Maximization"]; }
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46 | }
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47 | public ScopeTreeLookupParameter<T> SolutionParameter {
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48 | get { return (ScopeTreeLookupParameter<T>)Parameters["Solution"]; }
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49 | }
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50 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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51 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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52 | }
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53 | public LookupParameter<T> BestKnownSolutionParameter {
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54 | get { return (LookupParameter<T>)Parameters["BestKnownSolution"]; }
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55 | }
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56 | public ValueLookupParameter<ResultCollection> ResultsParameter {
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57 | get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
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58 | }
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59 | public ValueParameter<BoolValue> StoreHistoryParameter {
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60 | get { return (ValueParameter<BoolValue>)Parameters["StoreHistory"]; }
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61 | }
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62 | public ValueParameter<IntValue> UpdateIntervalParameter {
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63 | get { return (ValueParameter<IntValue>)Parameters["UpdateInterval"]; }
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64 | }
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65 | public LookupParameter<IntValue> UpdateCounterParameter {
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66 | get { return (LookupParameter<IntValue>)Parameters["UpdateCounter"]; }
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67 | }
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68 |
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69 | [StorableConstructor]
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70 | protected AlleleFrequencyAnalyzer(bool deserializing) : base(deserializing) { }
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71 | protected AlleleFrequencyAnalyzer(AlleleFrequencyAnalyzer<T> original, Cloner cloner) : base(original, cloner) { }
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72 | public AlleleFrequencyAnalyzer()
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73 | : base() {
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74 | Parameters.Add(new LookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem."));
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75 | Parameters.Add(new ScopeTreeLookupParameter<T>("Solution", "The solutions whose alleles should be analyzed."));
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76 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The qualities of the solutions which should be analyzed."));
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77 | Parameters.Add(new LookupParameter<T>("BestKnownSolution", "The best known solution."));
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78 | Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the allele frequency analysis results should be stored."));
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79 | Parameters.Add(new ValueParameter<BoolValue>("StoreHistory", "True if the history of the allele frequency analysis should be stored.", new BoolValue(false)));
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80 | Parameters.Add(new ValueParameter<IntValue>("UpdateInterval", "The interval in which the allele frequency analysis should be applied.", new IntValue(1)));
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81 | Parameters.Add(new LookupParameter<IntValue>("UpdateCounter", "The value which counts how many times the operator was called since the last update.", "AlleleFrequencyAnalyzerUpdateCounter"));
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82 |
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83 | MaximizationParameter.Hidden = true;
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84 | SolutionParameter.Hidden = true;
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85 | QualityParameter.Hidden = true;
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86 | BestKnownSolutionParameter.Hidden = true;
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87 | ResultsParameter.Hidden = true;
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88 | UpdateCounterParameter.Hidden = true;
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89 | }
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90 |
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91 | #region Equality Comparers
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92 | private class AlleleIdEqualityComparer : IEqualityComparer<Allele> {
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93 | public bool Equals(Allele x, Allele y) {
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94 | return x.Id == y.Id;
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95 | }
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96 | public int GetHashCode(Allele obj) {
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97 | return obj.Id.GetHashCode();
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98 | }
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99 | }
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100 | private class AlleleFrequencyIdEqualityComparer : IEqualityComparer<AlleleFrequency> {
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101 | public bool Equals(AlleleFrequency x, AlleleFrequency y) {
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102 | return x.Id == y.Id;
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103 | }
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104 | public int GetHashCode(AlleleFrequency obj) {
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105 | return obj.Id.GetHashCode();
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106 | }
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107 | }
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108 | #endregion
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109 |
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110 | public override IOperation Apply() {
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111 | int updateInterval = UpdateIntervalParameter.Value.Value;
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112 | IntValue updateCounter = UpdateCounterParameter.ActualValue;
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113 | if (updateCounter == null) {
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114 | updateCounter = new IntValue(updateInterval);
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115 | UpdateCounterParameter.ActualValue = updateCounter;
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116 | } else updateCounter.Value++;
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117 |
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118 | if (updateCounter.Value == updateInterval) {
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119 | updateCounter.Value = 0;
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120 |
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121 | bool max = MaximizationParameter.ActualValue.Value;
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122 | ItemArray<T> solutions = SolutionParameter.ActualValue;
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123 | double[] qualities = QualityParameter.ActualValue.Select(x => x.Value).ToArray();
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124 | T bestKnownSolution = BestKnownSolutionParameter.ActualValue;
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125 | bool storeHistory = StoreHistoryParameter.Value.Value;
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126 |
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127 | // calculate index of current best solution
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128 | int bestIndex = -1;
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129 | if (!max) {
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130 | bestIndex = qualities
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131 | .Select((x, i) => new { Index = i, Value = x })
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132 | .OrderBy(x => x.Value)
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133 | .First().Index;
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134 | } else {
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135 | bestIndex = qualities
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136 | .Select((x, i) => new { Index = i, Value = x })
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137 | .OrderByDescending(x => x.Value)
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138 | .First().Index;
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139 | }
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140 |
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141 | // calculate allels of current best and (if available) best known solution
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142 | Allele[] bestAlleles = CalculateAlleles(solutions[bestIndex]);
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143 | Allele[] bestKnownAlleles = null;
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144 | if (bestKnownSolution != null)
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145 | bestKnownAlleles = CalculateAlleles(bestKnownSolution);
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146 |
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147 | // calculate allele frequencies
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148 | var frequencies = solutions.SelectMany((s, index) => CalculateAlleles(s).Select(a => new { Allele = a, Quality = qualities[index] })).
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149 | GroupBy(x => x.Allele.Id).
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150 | Select(x => new AlleleFrequency(x.Key,
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151 | x.Count() / ((double)solutions.Length),
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152 | x.Average(a => a.Allele.Impact),
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153 | x.Average(a => a.Quality),
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154 | bestKnownAlleles == null ? false : bestKnownAlleles.Any(a => a.Id == x.Key),
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155 | bestAlleles.Any(a => a.Id == x.Key)));
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156 |
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157 | // calculate dummy allele frequencies of alleles of best known solution which did not occur
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158 | if (bestKnownAlleles != null) {
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159 | var bestKnownFrequencies = bestKnownAlleles.Select(x => new AlleleFrequency(x.Id, 0, x.Impact, 0, true, false)).Except(frequencies, new AlleleFrequencyIdEqualityComparer());
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160 | frequencies = frequencies.Concat(bestKnownFrequencies);
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161 | }
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162 |
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163 | // fetch results collection
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164 | ResultCollection results;
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165 | if (!ResultsParameter.ActualValue.ContainsKey(Name + " Results")) {
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166 | results = new ResultCollection();
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167 | ResultsParameter.ActualValue.Add(new Result(Name + " Results", results));
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168 | } else {
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169 | results = (ResultCollection)ResultsParameter.ActualValue[Name + " Results"].Value;
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170 | }
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171 |
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172 | // store allele frequencies
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173 | AlleleFrequencyCollection frequenciesCollection = new AlleleFrequencyCollection(frequencies);
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174 | if (!results.ContainsKey("Allele Frequencies"))
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175 | results.Add(new Result("Allele Frequencies", frequenciesCollection));
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176 | else
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177 | results["Allele Frequencies"].Value = frequenciesCollection;
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178 |
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179 | // store allele frequencies history
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180 | if (storeHistory) {
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181 | if (!results.ContainsKey("Allele Frequencies History")) {
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182 | AlleleFrequencyCollectionHistory history = new AlleleFrequencyCollectionHistory();
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183 | history.Add(frequenciesCollection);
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184 | results.Add(new Result("Allele Frequencies History", history));
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185 | } else {
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186 | ((AlleleFrequencyCollectionHistory)results["Allele Frequencies History"].Value).Add(frequenciesCollection);
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187 | }
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188 | }
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189 |
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190 | // store alleles data table
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191 | DataTable allelesTable;
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192 | if (!results.ContainsKey("Alleles")) {
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193 | allelesTable = new DataTable("Alleles");
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194 | allelesTable.VisualProperties.XAxisTitle = "Iteration";
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195 | allelesTable.VisualProperties.YAxisTitle = "Number of Alleles";
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196 | allelesTable.VisualProperties.SecondYAxisTitle = "Number of Alleles";
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197 |
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198 | allelesTable.Rows.Add(new DataRow("Unique Alleles"));
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199 | allelesTable.Rows["Unique Alleles"].VisualProperties.StartIndexZero = true;
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200 |
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201 | allelesTable.Rows.Add(new DataRow("Unique Alleles of Best Known Solution", null));
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202 | allelesTable.Rows["Unique Alleles of Best Known Solution"].VisualProperties.SecondYAxis = true;
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203 | allelesTable.Rows["Unique Alleles of Best Known Solution"].VisualProperties.StartIndexZero = true;
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204 |
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205 | allelesTable.Rows.Add(new DataRow("Fixed Alleles", null));
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206 | allelesTable.Rows["Fixed Alleles"].VisualProperties.SecondYAxis = true;
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207 | allelesTable.Rows["Fixed Alleles"].VisualProperties.StartIndexZero = true;
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208 |
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209 | allelesTable.Rows.Add(new DataRow("Fixed Alleles of Best Known Solution", null));
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210 | allelesTable.Rows["Fixed Alleles of Best Known Solution"].VisualProperties.SecondYAxis = true;
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211 | allelesTable.Rows["Fixed Alleles of Best Known Solution"].VisualProperties.StartIndexZero = true;
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212 |
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213 | allelesTable.Rows.Add(new DataRow("Lost Alleles of Best Known Solution", null));
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214 | allelesTable.Rows["Lost Alleles of Best Known Solution"].VisualProperties.SecondYAxis = true;
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215 | allelesTable.Rows["Lost Alleles of Best Known Solution"].VisualProperties.StartIndexZero = true;
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216 |
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217 | results.Add(new Result("Alleles", allelesTable));
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218 | } else {
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219 | allelesTable = (DataTable)results["Alleles"].Value;
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220 | }
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221 |
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222 | int fixedAllelesCount = frequenciesCollection.Where(x => x.Frequency == 1).Count();
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223 | var relevantAlleles = frequenciesCollection.Where(x => x.ContainedInBestKnownSolution);
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224 | int relevantAllelesCount = relevantAlleles.Count();
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225 | int fixedRelevantAllelesCount = relevantAlleles.Where(x => x.Frequency == 1).Count();
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226 | int lostRelevantAllelesCount = relevantAlleles.Where(x => x.Frequency == 0).Count();
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227 | int uniqueRelevantAllelesCount = relevantAllelesCount - lostRelevantAllelesCount;
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228 | allelesTable.Rows["Unique Alleles"].Values.Add(frequenciesCollection.Count);
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229 | allelesTable.Rows["Unique Alleles of Best Known Solution"].Values.Add(uniqueRelevantAllelesCount);
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230 | allelesTable.Rows["Fixed Alleles"].Values.Add(fixedAllelesCount);
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231 | allelesTable.Rows["Fixed Alleles of Best Known Solution"].Values.Add(fixedRelevantAllelesCount);
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232 | allelesTable.Rows["Lost Alleles of Best Known Solution"].Values.Add(lostRelevantAllelesCount);
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233 |
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234 | // store alleles values
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235 | if (!results.ContainsKey("Unique Alleles"))
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236 | results.Add(new Result("Unique Alleles", new DoubleValue(frequenciesCollection.Count)));
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237 | else
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238 | ((DoubleValue)results["Unique Alleles"].Value).Value = frequenciesCollection.Count;
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239 |
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240 | if (!results.ContainsKey("Unique Alleles of Best Known Solution"))
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241 | results.Add(new Result("Unique Alleles of Best Known Solution", new DoubleValue(uniqueRelevantAllelesCount)));
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242 | else
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243 | ((DoubleValue)results["Unique Alleles of Best Known Solution"].Value).Value = uniqueRelevantAllelesCount;
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244 |
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245 | if (!results.ContainsKey("Fixed Alleles"))
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246 | results.Add(new Result("Fixed Alleles", new DoubleValue(fixedAllelesCount)));
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247 | else
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248 | ((DoubleValue)results["Fixed Alleles"].Value).Value = fixedAllelesCount;
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249 |
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250 | if (!results.ContainsKey("Fixed Alleles of Best Known Solution"))
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251 | results.Add(new Result("Fixed Alleles of Best Known Solution", new DoubleValue(fixedRelevantAllelesCount)));
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252 | else
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253 | ((DoubleValue)results["Fixed Alleles of Best Known Solution"].Value).Value = fixedRelevantAllelesCount;
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254 |
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255 | if (!results.ContainsKey("Lost Alleles of Best Known Solution"))
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256 | results.Add(new Result("Lost Alleles of Best Known Solution", new DoubleValue(lostRelevantAllelesCount)));
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257 | else
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258 | ((DoubleValue)results["Lost Alleles of Best Known Solution"].Value).Value = lostRelevantAllelesCount;
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259 |
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260 | // calculate contained alleles of best known solution and relative quality
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261 | if (bestKnownAlleles != null) {
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262 | double qualityRange = Math.Abs(qualities.Max() - qualities.Min());
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263 | var points = solutions.Select((s, index) => new Point2D<double>(CalculateAlleles(s).Intersect(bestKnownAlleles, new AlleleIdEqualityComparer()).Count(),
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264 | Math.Abs(qualities[index] - qualities[bestIndex]) / qualityRange));
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265 | var avgContainedReleventAlleles = points.Select(x => x.X).Average();
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266 |
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267 | var plot = new ScatterPlot("Contained Alleles of Best Known Solution and Relative Solution Qualtiy", null);
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268 | plot.VisualProperties.XAxisTitle = "Contained Alleles of Best Known Solution";
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269 | plot.VisualProperties.YAxisTitle = "Relative Solution Quality";
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270 | plot.VisualProperties.XAxisMinimumAuto = false;
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271 | plot.VisualProperties.XAxisMinimumFixedValue = 0.0;
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272 | plot.VisualProperties.XAxisMaximumAuto = false;
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273 | plot.VisualProperties.XAxisMaximumFixedValue = bestKnownAlleles.Length;
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274 | plot.VisualProperties.YAxisMinimumAuto = false;
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275 | plot.VisualProperties.YAxisMinimumFixedValue = 0.0;
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276 | plot.VisualProperties.YAxisMaximumAuto = false;
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277 | plot.VisualProperties.YAxisMaximumFixedValue = 1.0;
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278 | var row = new ScatterPlotDataRow("Solutions of Current Generation", null, points);
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279 | row.VisualProperties.PointStyle = ScatterPlotDataRowVisualProperties.ScatterPlotDataRowPointStyle.Circle;
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280 | row.VisualProperties.PointSize = 5;
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281 | plot.Rows.Add(row);
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282 |
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283 | if (!results.ContainsKey("Scatter Plot"))
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284 | results.Add(new Result("Scatter Plot", plot));
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285 | else
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286 | results["Scatter Plot"].Value = plot;
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287 | if (storeHistory) {
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288 | if (!results.ContainsKey("Scatter Plot History")) {
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289 | results.Add(new Result("Scatter Plot History", new ScatterPlotHistory()));
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290 | }
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291 | ((ScatterPlotHistory)results["Scatter Plot History"].Value).Add(plot);
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292 | }
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293 |
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294 | if (!allelesTable.Rows.ContainsKey("Average Contained Alleles of Best Known Solution")) {
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295 | allelesTable.Rows.Add(new DataRow("Average Contained Alleles of Best Known Solution", null));
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296 | allelesTable.Rows["Average Contained Alleles of Best Known Solution"].VisualProperties.SecondYAxis = true;
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297 | allelesTable.Rows["Average Contained Alleles of Best Known Solution"].VisualProperties.StartIndexZero = true;
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298 | }
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299 | allelesTable.Rows["Average Contained Alleles of Best Known Solution"].Values.Add(avgContainedReleventAlleles);
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300 |
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301 | if (!results.ContainsKey("Average Contained Alleles of Best Known Solution"))
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302 | results.Add(new Result("Average Contained Alleles of Best Known Solution", new DoubleValue(avgContainedReleventAlleles)));
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303 | else
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304 | ((DoubleValue)results["Average Contained Alleles of Best Known Solution"].Value).Value = avgContainedReleventAlleles;
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305 | }
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306 | }
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307 | return base.Apply();
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308 | }
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309 |
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310 | protected abstract Allele[] CalculateAlleles(T solution);
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311 | }
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312 | }
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