| 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2008 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.Xml;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Data;
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| 27 | using HeuristicLab.DataAnalysis;
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| 28 | using HeuristicLab.Evolutionary;
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| 29 | using HeuristicLab.GP.Interfaces;
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| 30 | using HeuristicLab.Logging;
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| 31 | using HeuristicLab.Modeling;
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| 32 | using HeuristicLab.Operators;
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| 33 | using HeuristicLab.Random;
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| 34 | using HeuristicLab.Selection;
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| 35 | using HeuristicLab.Operators.Programmable;
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| 36 |
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| 37 | namespace HeuristicLab.GP.StructureIdentification {
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| 38 | public abstract class AlgorithmBase : ItemBase, IAlgorithm, IStochasticAlgorithm {
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| 39 | public virtual string Name { get { return "GP"; } }
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| 40 | public virtual string Description { get { return "TODO"; } }
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| 41 |
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| 42 | public abstract Dataset Dataset { get; set; }
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| 43 | public abstract int TargetVariable { get; set; }
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| 44 |
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| 45 | public virtual double MutationRate {
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| 46 | get { return GetVariableInjector().GetVariable("MutationRate").GetValue<DoubleData>().Data; }
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| 47 | set { GetVariableInjector().GetVariable("MutationRate").GetValue<DoubleData>().Data = value; }
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| 48 | }
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| 49 | public virtual int PopulationSize {
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| 50 | get { return GetVariableInjector().GetVariable("PopulationSize").GetValue<IntData>().Data; }
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| 51 | set { GetVariableInjector().GetVariable("PopulationSize").GetValue<IntData>().Data = value; }
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| 52 | }
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| 53 |
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| 54 | public virtual bool SetSeedRandomly {
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| 55 | get { return GetRandomInjector().GetVariable("SetSeedRandomly").GetValue<BoolData>().Data; }
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| 56 | set { GetRandomInjector().GetVariable("SetSeedRandomly").GetValue<BoolData>().Data = value; }
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| 57 | }
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| 58 |
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| 59 | public virtual int RandomSeed {
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| 60 | get { return GetRandomInjector().GetVariable("Seed").GetValue<IntData>().Data; }
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| 61 | set { GetRandomInjector().GetVariable("Seed").GetValue<IntData>().Data = value; }
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| 62 | }
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| 63 |
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| 64 | public virtual IOperator ProblemInjector {
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| 65 | get { return algorithm.SubOperators[1]; }
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| 66 | set {
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| 67 | value.Name = "ProblemInjector";
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| 68 | algorithm.RemoveSubOperator(1);
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| 69 | algorithm.AddSubOperator(value, 1);
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| 70 | }
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| 71 | }
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| 72 |
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| 73 | private IAnalyzerModel model;
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| 74 | public virtual IAnalyzerModel Model {
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| 75 | get {
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| 76 | if (!engine.Terminated) throw new InvalidOperationException("The algorithm is still running. Wait until the algorithm is terminated to retrieve the result.");
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| 77 | if (model == null) {
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| 78 | IScope bestModelScope = engine.GlobalScope.SubScopes[0];
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| 79 | model = CreateGPModel(bestModelScope);
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| 80 | }
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| 81 | return model;
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| 82 | }
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| 83 | }
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| 84 |
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| 85 | public virtual int Elites {
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| 86 | get { return GetVariableInjector().GetVariable("Elites").GetValue<IntData>().Data; }
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| 87 | set { GetVariableInjector().GetVariable("Elites").GetValue<IntData>().Data = value; }
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| 88 | }
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| 89 |
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| 90 | public virtual int MaxTreeSize {
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| 91 | get { return GetVariableInjector().GetVariable("MaxTreeSize").GetValue<IntData>().Data; }
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| 92 | set { GetVariableInjector().GetVariable("MaxTreeSize").GetValue<IntData>().Data = value; }
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| 93 | }
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| 94 |
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| 95 | public virtual int MaxTreeHeight {
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| 96 | get { return GetVariableInjector().GetVariable("MaxTreeHeight").GetValue<IntData>().Data; }
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| 97 | set { GetVariableInjector().GetVariable("MaxTreeHeight").GetValue<IntData>().Data = value; }
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| 98 | }
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| 99 |
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| 100 | public virtual int Parents {
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| 101 | get { return GetVariableInjector().GetVariable("Parents").GetValue<IntData>().Data; }
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| 102 | set { GetVariableInjector().GetVariable("Parents").GetValue<IntData>().Data = value; }
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| 103 | }
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| 104 |
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| 105 | public virtual bool UseEstimatedTargetValue {
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| 106 | get { return GetVariableInjector().GetVariable("UseEstimatedTargetValue").GetValue<BoolData>().Data; }
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| 107 | set { GetVariableInjector().GetVariable("UseEstimatedTargetValue").GetValue<BoolData>().Data = value; }
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| 108 | }
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| 109 |
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| 110 | private IOperator algorithm;
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| 111 |
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| 112 | private SequentialEngine.SequentialEngine engine;
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| 113 | public IEngine Engine {
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| 114 | get { return engine; }
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| 115 | protected set { engine = (SequentialEngine.SequentialEngine)value; }
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| 116 | }
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| 117 |
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| 118 | public AlgorithmBase() {
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| 119 | engine = new SequentialEngine.SequentialEngine();
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| 120 | CombinedOperator algo = CreateAlgorithm();
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| 121 | engine.OperatorGraph.AddOperator(algo);
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| 122 | engine.OperatorGraph.InitialOperator = algo;
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| 123 | SetSeedRandomly = true;
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| 124 | Elites = 1;
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| 125 | MutationRate = 0.15;
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| 126 | PopulationSize = 1000;
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| 127 | MaxTreeSize = 100;
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| 128 | MaxTreeHeight = 10;
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| 129 | Parents = 2000;
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| 130 | UseEstimatedTargetValue = false;
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| 131 | }
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| 132 |
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| 133 | protected internal virtual CombinedOperator CreateAlgorithm() {
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| 134 | CombinedOperator algo = new CombinedOperator();
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| 135 | algo.Name = "GP";
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| 136 | SequentialProcessor seq = new SequentialProcessor();
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| 137 | IOperator problemInjector = CreateProblemInjector();
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| 138 |
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| 139 | RandomInjector randomInjector = new RandomInjector();
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| 140 | randomInjector.Name = "Random Injector";
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| 141 |
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| 142 | IOperator globalInjector = CreateGlobalInjector();
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| 143 | IOperator treeEvaluatorInjector = new HL2TreeEvaluatorInjector();
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| 144 | IOperator initialization = CreateInitialization();
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| 145 | IOperator funLibInjector = CreateFunctionLibraryInjector();
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| 146 |
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| 147 | IOperator mainLoop = CreateMainLoop();
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| 148 | mainLoop.Name = "Main loop";
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| 149 |
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| 150 | IOperator treeCreator = CreateTreeCreator();
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| 151 |
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| 152 | MeanSquaredErrorEvaluator evaluator = new MeanSquaredErrorEvaluator();
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| 153 | evaluator.GetVariableInfo("MSE").ActualName = "Quality";
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| 154 | evaluator.GetVariableInfo("SamplesStart").ActualName = "ActualTrainingSamplesStart";
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| 155 | evaluator.GetVariableInfo("SamplesEnd").ActualName = "ActualTrainingSamplesEnd";
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| 156 | evaluator.Name = "Evaluator";
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| 157 |
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| 158 | IOperator crossover = CreateCrossover();
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| 159 | IOperator manipulator = CreateManipulator();
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| 160 |
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| 161 | IOperator selector = CreateSelector();
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| 162 | LeftReducer cleanUp = new LeftReducer();
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| 163 |
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| 164 | seq.AddSubOperator(randomInjector);
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| 165 | seq.AddSubOperator(problemInjector);
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| 166 | seq.AddSubOperator(globalInjector);
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| 167 | seq.AddSubOperator(treeEvaluatorInjector);
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| 168 | seq.AddSubOperator(funLibInjector);
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| 169 | seq.AddSubOperator(initialization);
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| 170 | seq.AddSubOperator(mainLoop);
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| 171 | seq.AddSubOperator(cleanUp);
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| 172 | seq.AddSubOperator(CreateModelAnalysisOperator());
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| 173 |
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| 174 | initialization.AddSubOperator(treeCreator);
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| 175 | initialization.AddSubOperator(evaluator);
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| 176 |
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| 177 | mainLoop.AddSubOperator(selector);
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| 178 | mainLoop.AddSubOperator(crossover);
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| 179 | mainLoop.AddSubOperator(manipulator);
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| 180 | mainLoop.AddSubOperator(evaluator);
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| 181 | algo.OperatorGraph.AddOperator(seq);
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| 182 | algo.OperatorGraph.InitialOperator = seq;
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| 183 | this.algorithm = seq;
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| 184 | return algo;
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| 185 | }
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| 186 |
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| 187 | protected internal virtual IOperator CreateModelAnalysisOperator() {
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| 188 | CombinedOperator op = new CombinedOperator();
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| 189 | SequentialProcessor seq = new SequentialProcessor();
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| 190 | SolutionExtractor extractor = new SolutionExtractor();
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| 191 | extractor.GetVariableInfo("Scope").ActualName = "BestValidationSolution";
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| 192 | SequentialSubScopesProcessor seqSubScopeProc = new SequentialSubScopesProcessor();
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| 193 | SequentialProcessor solutionProc = new SequentialProcessor();
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| 194 |
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| 195 | seq.AddSubOperator(extractor);
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| 196 | seq.AddSubOperator(seqSubScopeProc);
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| 197 | seqSubScopeProc.AddSubOperator(solutionProc);
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| 198 |
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| 199 | HL2TreeEvaluatorInjector evaluatorInjector = new HL2TreeEvaluatorInjector();
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| 200 | evaluatorInjector.AddVariable(new HeuristicLab.Core.Variable("PunishmentFactor", new DoubleData(1000.0)));
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| 201 | evaluatorInjector.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 202 |
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| 203 | #region MSE
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| 204 | MeanSquaredErrorEvaluator trainingMseEvaluator = new MeanSquaredErrorEvaluator();
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| 205 | trainingMseEvaluator.Name = "TrainingMseEvaluator";
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| 206 | trainingMseEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 207 | trainingMseEvaluator.GetVariableInfo("MSE").ActualName = "TrainingMSE";
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| 208 | trainingMseEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
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| 209 | trainingMseEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
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| 210 | MeanSquaredErrorEvaluator validationMseEvaluator = new MeanSquaredErrorEvaluator();
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| 211 | validationMseEvaluator.Name = "ValidationMseEvaluator";
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| 212 | validationMseEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 213 | validationMseEvaluator.GetVariableInfo("MSE").ActualName = "ValidationMSE";
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| 214 | validationMseEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
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| 215 | validationMseEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
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| 216 | MeanSquaredErrorEvaluator testMseEvaluator = new MeanSquaredErrorEvaluator();
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| 217 | testMseEvaluator.Name = "TestMeanSquaredErrorEvaluator";
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| 218 | testMseEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 219 | testMseEvaluator.GetVariableInfo("MSE").ActualName = "TestMSE";
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| 220 | testMseEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
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| 221 | testMseEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
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| 222 | #endregion
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| 223 | #region MAPE
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| 224 | MeanAbsolutePercentageErrorEvaluator trainingMapeEvaluator = new MeanAbsolutePercentageErrorEvaluator();
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| 225 | trainingMapeEvaluator.Name = "TrainingMapeEvaluator";
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| 226 | trainingMapeEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 227 | trainingMapeEvaluator.GetVariableInfo("MAPE").ActualName = "TrainingMAPE";
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| 228 | trainingMapeEvaluator.GetVariableInfo("SamplesStart").ActualName = "ActualTrainingSamplesStart";
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| 229 | trainingMapeEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ActualTrainingSamplesEnd";
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| 230 | MeanAbsolutePercentageErrorEvaluator validationMapeEvaluator = new MeanAbsolutePercentageErrorEvaluator();
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| 231 | validationMapeEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 232 | validationMapeEvaluator.Name = "ValidationMapeEvaluator";
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| 233 | validationMapeEvaluator.GetVariableInfo("MAPE").ActualName = "ValidationMAPE";
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| 234 | validationMapeEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
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| 235 | validationMapeEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
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| 236 | MeanAbsolutePercentageErrorEvaluator testMapeEvaluator = new MeanAbsolutePercentageErrorEvaluator();
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| 237 | testMapeEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 238 | testMapeEvaluator.Name = "TestMapeEvaluator";
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| 239 | testMapeEvaluator.GetVariableInfo("MAPE").ActualName = "TestMAPE";
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| 240 | testMapeEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
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| 241 | testMapeEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
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| 242 | #endregion
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| 243 | #region MAPRE
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| 244 | MeanAbsolutePercentageOfRangeErrorEvaluator trainingMapreEvaluator = new MeanAbsolutePercentageOfRangeErrorEvaluator();
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| 245 | trainingMapreEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 246 | trainingMapreEvaluator.Name = "TrainingMapreEvaluator";
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| 247 | trainingMapreEvaluator.GetVariableInfo("MAPRE").ActualName = "TrainingMAPRE";
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| 248 | trainingMapreEvaluator.GetVariableInfo("SamplesStart").ActualName = "ActualTrainingSamplesStart";
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| 249 | trainingMapreEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ActualTrainingSamplesEnd";
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| 250 | MeanAbsolutePercentageOfRangeErrorEvaluator validationMapreEvaluator = new MeanAbsolutePercentageOfRangeErrorEvaluator();
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| 251 | validationMapreEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 252 | validationMapreEvaluator.Name = "ValidationMapreEvaluator";
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| 253 | validationMapreEvaluator.GetVariableInfo("MAPRE").ActualName = "ValidationMAPRE";
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| 254 | validationMapreEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
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| 255 | validationMapreEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
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| 256 | MeanAbsolutePercentageOfRangeErrorEvaluator testMapreEvaluator = new MeanAbsolutePercentageOfRangeErrorEvaluator();
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| 257 | testMapreEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 258 | testMapreEvaluator.Name = "TestMapreEvaluator";
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| 259 | testMapreEvaluator.GetVariableInfo("MAPRE").ActualName = "TestMAPRE";
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| 260 | testMapreEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
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| 261 | testMapreEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
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| 262 | #endregion MAPRE
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| 263 | #region R2
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| 264 | CoefficientOfDeterminationEvaluator trainingR2Evaluator = new CoefficientOfDeterminationEvaluator();
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| 265 | trainingR2Evaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 266 | trainingR2Evaluator.Name = "TrainingR2Evaluator";
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| 267 | trainingR2Evaluator.GetVariableInfo("R2").ActualName = "TrainingR2";
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| 268 | trainingR2Evaluator.GetVariableInfo("SamplesStart").ActualName = "ActualTrainingSamplesStart";
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| 269 | trainingR2Evaluator.GetVariableInfo("SamplesEnd").ActualName = "ActualTrainingSamplesEnd";
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| 270 | CoefficientOfDeterminationEvaluator validationR2Evaluator = new CoefficientOfDeterminationEvaluator();
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| 271 | validationR2Evaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 272 | validationR2Evaluator.Name = "ValidationR2Evaluator";
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| 273 | validationR2Evaluator.GetVariableInfo("R2").ActualName = "ValidationR2";
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| 274 | validationR2Evaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
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| 275 | validationR2Evaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
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| 276 | CoefficientOfDeterminationEvaluator testR2Evaluator = new CoefficientOfDeterminationEvaluator();
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| 277 | testR2Evaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 278 | testR2Evaluator.Name = "TestR2Evaluator";
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| 279 | testR2Evaluator.GetVariableInfo("R2").ActualName = "TestR2";
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| 280 | testR2Evaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
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| 281 | testR2Evaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
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| 282 | #endregion
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| 283 | #region VAF
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| 284 | VarianceAccountedForEvaluator trainingVAFEvaluator = new VarianceAccountedForEvaluator();
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| 285 | trainingVAFEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 286 | trainingVAFEvaluator.Name = "TrainingVAFEvaluator";
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| 287 | trainingVAFEvaluator.GetVariableInfo("VAF").ActualName = "TrainingVAF";
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| 288 | trainingVAFEvaluator.GetVariableInfo("SamplesStart").ActualName = "ActualTrainingSamplesStart";
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| 289 | trainingVAFEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ActualTrainingSamplesEnd";
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| 290 | VarianceAccountedForEvaluator validationVAFEvaluator = new VarianceAccountedForEvaluator();
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| 291 | validationVAFEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 292 | validationVAFEvaluator.Name = "ValidationVAFEvaluator";
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| 293 | validationVAFEvaluator.GetVariableInfo("VAF").ActualName = "ValidationVAF";
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| 294 | validationVAFEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
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| 295 | validationVAFEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
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| 296 | VarianceAccountedForEvaluator testVAFEvaluator = new VarianceAccountedForEvaluator();
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| 297 | testVAFEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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| 298 | testVAFEvaluator.Name = "TestVAFEvaluator";
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| 299 | testVAFEvaluator.GetVariableInfo("VAF").ActualName = "TestVAF";
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| 300 | testVAFEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
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| 301 | testVAFEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
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| 302 | #endregion
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| 303 |
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| 304 | solutionProc.AddSubOperator(evaluatorInjector);
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| 305 | solutionProc.AddSubOperator(trainingMseEvaluator);
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| 306 | solutionProc.AddSubOperator(validationMseEvaluator);
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| 307 | solutionProc.AddSubOperator(testMseEvaluator);
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| 308 | solutionProc.AddSubOperator(trainingMapeEvaluator);
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| 309 | solutionProc.AddSubOperator(validationMapeEvaluator);
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| 310 | solutionProc.AddSubOperator(testMapeEvaluator);
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| 311 | solutionProc.AddSubOperator(trainingMapreEvaluator);
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| 312 | solutionProc.AddSubOperator(validationMapreEvaluator);
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| 313 | solutionProc.AddSubOperator(testMapreEvaluator);
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| 314 | solutionProc.AddSubOperator(trainingR2Evaluator);
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| 315 | solutionProc.AddSubOperator(validationR2Evaluator);
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| 316 | solutionProc.AddSubOperator(testR2Evaluator);
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| 317 | solutionProc.AddSubOperator(trainingVAFEvaluator);
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| 318 | solutionProc.AddSubOperator(validationVAFEvaluator);
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| 319 | solutionProc.AddSubOperator(testVAFEvaluator);
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| 320 |
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| 321 | #region variable impacts
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| 322 | // calculate and set variable impacts
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| 323 | VariableNamesExtractor namesExtractor = new VariableNamesExtractor();
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| 324 | namesExtractor.GetVariableInfo("VariableNames").ActualName = "InputVariableNames";
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| 325 | PredictorBuilder predictorBuilder = new PredictorBuilder();
|
|---|
| 326 | predictorBuilder.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
|
|---|
| 327 | predictorBuilder.AddVariable(new HeuristicLab.Core.Variable("PunishmentFactor", new DoubleData(1000.0)));
|
|---|
| 328 |
|
|---|
| 329 | VariableEvaluationImpactCalculator evaluationImpactCalculator = new VariableEvaluationImpactCalculator();
|
|---|
| 330 | evaluationImpactCalculator.GetVariableInfo("SamplesStart").ActualName = "ActualTrainingSamplesStart";
|
|---|
| 331 | evaluationImpactCalculator.GetVariableInfo("SamplesEnd").ActualName = "ActualTrainingSamplesEnd";
|
|---|
| 332 | VariableQualityImpactCalculator qualityImpactCalculator = new VariableQualityImpactCalculator();
|
|---|
| 333 | qualityImpactCalculator.GetVariableInfo("SamplesStart").ActualName = "ActualTrainingSamplesStart";
|
|---|
| 334 | qualityImpactCalculator.GetVariableInfo("SamplesEnd").ActualName = "ActualTrainingSamplesEnd";
|
|---|
| 335 |
|
|---|
| 336 | solutionProc.AddSubOperator(namesExtractor);
|
|---|
| 337 | solutionProc.AddSubOperator(predictorBuilder);
|
|---|
| 338 | solutionProc.AddSubOperator(evaluationImpactCalculator);
|
|---|
| 339 | solutionProc.AddSubOperator(qualityImpactCalculator);
|
|---|
| 340 | #endregion
|
|---|
| 341 |
|
|---|
| 342 | op.OperatorGraph.AddOperator(seq);
|
|---|
| 343 | op.OperatorGraph.InitialOperator = seq;
|
|---|
| 344 | return op;
|
|---|
| 345 | }
|
|---|
| 346 |
|
|---|
| 347 | protected internal virtual IOperator CreateProblemInjector() {
|
|---|
| 348 | return new EmptyOperator();
|
|---|
| 349 | }
|
|---|
| 350 |
|
|---|
| 351 | protected internal abstract IOperator CreateSelector();
|
|---|
| 352 |
|
|---|
| 353 | protected internal abstract IOperator CreateCrossover();
|
|---|
| 354 |
|
|---|
| 355 | protected internal abstract IOperator CreateTreeCreator();
|
|---|
| 356 |
|
|---|
| 357 | protected internal abstract IOperator CreateFunctionLibraryInjector();
|
|---|
| 358 |
|
|---|
| 359 | protected internal virtual IOperator CreateGlobalInjector() {
|
|---|
| 360 | VariableInjector injector = new VariableInjector();
|
|---|
| 361 | injector.Name = "Global Injector";
|
|---|
| 362 | injector.AddVariable(new HeuristicLab.Core.Variable("Generations", new IntData(0)));
|
|---|
| 363 | injector.AddVariable(new HeuristicLab.Core.Variable("MutationRate", new DoubleData()));
|
|---|
| 364 | injector.AddVariable(new HeuristicLab.Core.Variable("PopulationSize", new IntData()));
|
|---|
| 365 | injector.AddVariable(new HeuristicLab.Core.Variable("Elites", new IntData()));
|
|---|
| 366 | injector.AddVariable(new HeuristicLab.Core.Variable("Maximization", new BoolData(false)));
|
|---|
| 367 | injector.AddVariable(new HeuristicLab.Core.Variable("MaxTreeHeight", new IntData()));
|
|---|
| 368 | injector.AddVariable(new HeuristicLab.Core.Variable("MaxTreeSize", new IntData()));
|
|---|
| 369 | injector.AddVariable(new HeuristicLab.Core.Variable("EvaluatedSolutions", new IntData(0)));
|
|---|
| 370 | injector.AddVariable(new HeuristicLab.Core.Variable("TotalEvaluatedNodes", new DoubleData(0)));
|
|---|
| 371 | injector.AddVariable(new HeuristicLab.Core.Variable("Parents", new IntData()));
|
|---|
| 372 | injector.AddVariable(new HeuristicLab.Core.Variable("UseEstimatedTargetValue", new BoolData()));
|
|---|
| 373 | injector.AddVariable(new HeuristicLab.Core.Variable("PunishmentFactor", new DoubleData(10.0)));
|
|---|
| 374 | return injector;
|
|---|
| 375 | }
|
|---|
| 376 |
|
|---|
| 377 | protected internal abstract IOperator CreateManipulator();
|
|---|
| 378 |
|
|---|
| 379 | protected internal virtual IOperator CreateInitialization() {
|
|---|
| 380 | CombinedOperator init = new CombinedOperator();
|
|---|
| 381 | init.Name = "Initialization";
|
|---|
| 382 | SequentialProcessor seq = new SequentialProcessor();
|
|---|
| 383 | SubScopesCreater subScopesCreater = new SubScopesCreater();
|
|---|
| 384 | subScopesCreater.GetVariableInfo("SubScopes").ActualName = "PopulationSize";
|
|---|
| 385 | UniformSequentialSubScopesProcessor subScopesProc = new UniformSequentialSubScopesProcessor();
|
|---|
| 386 | SequentialProcessor individualSeq = new SequentialProcessor();
|
|---|
| 387 | OperatorExtractor treeCreater = new OperatorExtractor();
|
|---|
| 388 | treeCreater.Name = "Tree generator (extr.)";
|
|---|
| 389 | treeCreater.GetVariableInfo("Operator").ActualName = "Tree generator";
|
|---|
| 390 | OperatorExtractor evaluator = new OperatorExtractor();
|
|---|
| 391 | evaluator.Name = "Evaluator (extr.)";
|
|---|
| 392 | evaluator.GetVariableInfo("Operator").ActualName = "Evaluator";
|
|---|
| 393 | MeanSquaredErrorEvaluator validationEvaluator = new MeanSquaredErrorEvaluator();
|
|---|
| 394 | validationEvaluator.GetVariableInfo("MSE").ActualName = "ValidationQuality";
|
|---|
| 395 | validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
|
|---|
| 396 | validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
|
|---|
| 397 | Counter evalCounter = new Counter();
|
|---|
| 398 | evalCounter.GetVariableInfo("Value").ActualName = "EvaluatedSolutions";
|
|---|
| 399 | Sorter sorter = new Sorter();
|
|---|
| 400 | sorter.GetVariableInfo("Descending").ActualName = "Maximization";
|
|---|
| 401 | sorter.GetVariableInfo("Value").ActualName = "Quality";
|
|---|
| 402 |
|
|---|
| 403 | seq.AddSubOperator(subScopesCreater);
|
|---|
| 404 | seq.AddSubOperator(subScopesProc);
|
|---|
| 405 | seq.AddSubOperator(sorter);
|
|---|
| 406 |
|
|---|
| 407 | subScopesProc.AddSubOperator(individualSeq);
|
|---|
| 408 | individualSeq.AddSubOperator(treeCreater);
|
|---|
| 409 | individualSeq.AddSubOperator(evaluator);
|
|---|
| 410 | individualSeq.AddSubOperator(validationEvaluator);
|
|---|
| 411 | individualSeq.AddSubOperator(evalCounter);
|
|---|
| 412 |
|
|---|
| 413 | init.OperatorGraph.AddOperator(seq);
|
|---|
| 414 | init.OperatorGraph.InitialOperator = seq;
|
|---|
| 415 | return init;
|
|---|
| 416 | }
|
|---|
| 417 |
|
|---|
| 418 | protected internal virtual IOperator CreateMainLoop() {
|
|---|
| 419 | CombinedOperator main = new CombinedOperator();
|
|---|
| 420 | SequentialProcessor seq = new SequentialProcessor();
|
|---|
| 421 | IOperator childCreater = CreateChildCreater();
|
|---|
| 422 | IOperator replacement = CreateReplacement();
|
|---|
| 423 |
|
|---|
| 424 | BestSolutionStorer solutionStorer = new BestSolutionStorer();
|
|---|
| 425 | solutionStorer.GetVariableInfo("Quality").ActualName = "ValidationQuality";
|
|---|
| 426 | solutionStorer.GetVariableInfo("BestSolution").ActualName = "BestValidationSolution";
|
|---|
| 427 | solutionStorer.AddSubOperator(CreateBestSolutionProcessor());
|
|---|
| 428 |
|
|---|
| 429 | BestAverageWorstQualityCalculator qualityCalculator = new BestAverageWorstQualityCalculator();
|
|---|
| 430 | BestAverageWorstQualityCalculator validationQualityCalculator = new BestAverageWorstQualityCalculator();
|
|---|
| 431 | validationQualityCalculator.Name = "BestAverageWorstValidationQualityCalculator";
|
|---|
| 432 | validationQualityCalculator.GetVariableInfo("Quality").ActualName = "ValidationQuality";
|
|---|
| 433 | validationQualityCalculator.GetVariableInfo("BestQuality").ActualName = "BestValidationQuality";
|
|---|
| 434 | validationQualityCalculator.GetVariableInfo("AverageQuality").ActualName = "AverageValidationQuality";
|
|---|
| 435 | validationQualityCalculator.GetVariableInfo("WorstQuality").ActualName = "WorstValidationQuality";
|
|---|
| 436 | IOperator loggingOperator = CreateLoggingOperator();
|
|---|
| 437 | Counter counter = new Counter();
|
|---|
| 438 | counter.GetVariableInfo("Value").ActualName = "Generations";
|
|---|
| 439 | IOperator loopCondition = CreateLoopCondition(seq);
|
|---|
| 440 |
|
|---|
| 441 | seq.AddSubOperator(childCreater);
|
|---|
| 442 | seq.AddSubOperator(replacement);
|
|---|
| 443 | seq.AddSubOperator(solutionStorer);
|
|---|
| 444 | seq.AddSubOperator(qualityCalculator);
|
|---|
| 445 | seq.AddSubOperator(validationQualityCalculator);
|
|---|
| 446 | seq.AddSubOperator(loggingOperator);
|
|---|
| 447 | seq.AddSubOperator(counter);
|
|---|
| 448 | seq.AddSubOperator(loopCondition);
|
|---|
| 449 |
|
|---|
| 450 | main.OperatorGraph.AddOperator(seq);
|
|---|
| 451 | main.OperatorGraph.InitialOperator = seq;
|
|---|
| 452 | return main;
|
|---|
| 453 | }
|
|---|
| 454 |
|
|---|
| 455 | protected internal virtual IOperator CreateLoggingOperator() {
|
|---|
| 456 | return new EmptyOperator();
|
|---|
| 457 | }
|
|---|
| 458 |
|
|---|
| 459 | protected internal virtual IOperator CreateLoopCondition(IOperator loop) {
|
|---|
| 460 | SequentialProcessor seq = new SequentialProcessor();
|
|---|
| 461 | seq.Name = "Loop Condition";
|
|---|
| 462 | LessThanComparator comparator = new LessThanComparator();
|
|---|
| 463 | comparator.GetVariableInfo("LeftSide").ActualName = "Generations";
|
|---|
| 464 | comparator.GetVariableInfo("RightSide").ActualName = "MaxGenerations";
|
|---|
| 465 | comparator.GetVariableInfo("Result").ActualName = "GenerationsCondition";
|
|---|
| 466 | ConditionalBranch cond = new ConditionalBranch();
|
|---|
| 467 | cond.GetVariableInfo("Condition").ActualName = "GenerationsCondition";
|
|---|
| 468 |
|
|---|
| 469 | seq.AddSubOperator(comparator);
|
|---|
| 470 | seq.AddSubOperator(cond);
|
|---|
| 471 |
|
|---|
| 472 | cond.AddSubOperator(loop);
|
|---|
| 473 | return seq;
|
|---|
| 474 | }
|
|---|
| 475 |
|
|---|
| 476 | protected internal virtual IOperator CreateBestSolutionProcessor() {
|
|---|
| 477 | SequentialProcessor seq = new SequentialProcessor();
|
|---|
| 478 | ProgrammableOperator progOperator = new ProgrammableOperator();
|
|---|
| 479 | progOperator.RemoveVariableInfo("Result");
|
|---|
| 480 | progOperator.AddVariableInfo(new HeuristicLab.Core.VariableInfo("EvaluatedSolutions", "", typeof(IntData), VariableKind.In));
|
|---|
| 481 | progOperator.Code = @"
|
|---|
| 482 | int evalSolutions = EvaluatedSolutions.Data;
|
|---|
| 483 | scope.AddVariable(new Variable(""EvaluatedSolutions"", new IntData(evalSolutions)));
|
|---|
| 484 | ";
|
|---|
| 485 | seq.AddSubOperator(progOperator);
|
|---|
| 486 | return seq;
|
|---|
| 487 | }
|
|---|
| 488 |
|
|---|
| 489 | protected internal virtual IOperator CreateReplacement() {
|
|---|
| 490 | CombinedOperator replacement = new CombinedOperator();
|
|---|
| 491 | replacement.Name = "Replacement";
|
|---|
| 492 | SequentialProcessor seq = new SequentialProcessor();
|
|---|
| 493 | SequentialSubScopesProcessor seqScopeProc = new SequentialSubScopesProcessor();
|
|---|
| 494 | SequentialProcessor selectedProc = new SequentialProcessor();
|
|---|
| 495 | LeftSelector leftSelector = new LeftSelector();
|
|---|
| 496 | leftSelector.GetVariableInfo("Selected").ActualName = "Elites";
|
|---|
| 497 | RightReducer rightReducer = new RightReducer();
|
|---|
| 498 |
|
|---|
| 499 | SequentialProcessor remainingProc = new SequentialProcessor();
|
|---|
| 500 | RightSelector rightSelector = new RightSelector();
|
|---|
| 501 | rightSelector.GetVariableInfo("Selected").ActualName = "Elites";
|
|---|
| 502 | LeftReducer leftReducer = new LeftReducer();
|
|---|
| 503 | MergingReducer mergingReducer = new MergingReducer();
|
|---|
| 504 | Sorter sorter = new Sorter();
|
|---|
| 505 | sorter.GetVariableInfo("Descending").ActualName = "Maximization";
|
|---|
| 506 | sorter.GetVariableInfo("Value").ActualName = "Quality";
|
|---|
| 507 |
|
|---|
| 508 | seq.AddSubOperator(seqScopeProc);
|
|---|
| 509 | seqScopeProc.AddSubOperator(selectedProc);
|
|---|
| 510 | selectedProc.AddSubOperator(leftSelector);
|
|---|
| 511 | selectedProc.AddSubOperator(rightReducer);
|
|---|
| 512 |
|
|---|
| 513 | seqScopeProc.AddSubOperator(remainingProc);
|
|---|
| 514 | remainingProc.AddSubOperator(rightSelector);
|
|---|
| 515 | remainingProc.AddSubOperator(leftReducer);
|
|---|
| 516 | seq.AddSubOperator(mergingReducer);
|
|---|
| 517 | seq.AddSubOperator(sorter);
|
|---|
| 518 | replacement.OperatorGraph.AddOperator(seq);
|
|---|
| 519 | replacement.OperatorGraph.InitialOperator = seq;
|
|---|
| 520 | return replacement;
|
|---|
| 521 | }
|
|---|
| 522 |
|
|---|
| 523 | protected internal virtual IOperator CreateChildCreater() {
|
|---|
| 524 | CombinedOperator childCreater = new CombinedOperator();
|
|---|
| 525 | childCreater.Name = "Create children";
|
|---|
| 526 | SequentialProcessor seq = new SequentialProcessor();
|
|---|
| 527 | OperatorExtractor selector = new OperatorExtractor();
|
|---|
| 528 | selector.Name = "Selector (extr.)";
|
|---|
| 529 | selector.GetVariableInfo("Operator").ActualName = "Selector";
|
|---|
| 530 |
|
|---|
| 531 | SequentialSubScopesProcessor seqScopesProc = new SequentialSubScopesProcessor();
|
|---|
| 532 | EmptyOperator emptyOpt = new EmptyOperator();
|
|---|
| 533 | SequentialProcessor selectedProc = new SequentialProcessor();
|
|---|
| 534 | ChildrenInitializer childInitializer = new ChildrenInitializer();
|
|---|
| 535 | ((IntData)childInitializer.GetVariable("ParentsPerChild").Value).Data = 2;
|
|---|
| 536 |
|
|---|
| 537 | OperatorExtractor crossover = new OperatorExtractor();
|
|---|
| 538 | crossover.Name = "Crossover (extr.)";
|
|---|
| 539 | crossover.GetVariableInfo("Operator").ActualName = "Crossover";
|
|---|
| 540 | UniformSequentialSubScopesProcessor individualProc = new UniformSequentialSubScopesProcessor();
|
|---|
| 541 | SequentialProcessor individualSeqProc = new SequentialProcessor();
|
|---|
| 542 | StochasticBranch cond = new StochasticBranch();
|
|---|
| 543 | cond.GetVariableInfo("Probability").ActualName = "MutationRate";
|
|---|
| 544 | OperatorExtractor manipulator = new OperatorExtractor();
|
|---|
| 545 | manipulator.Name = "Manipulator (extr.)";
|
|---|
| 546 | manipulator.GetVariableInfo("Operator").ActualName = "Manipulator";
|
|---|
| 547 | OperatorExtractor evaluator = new OperatorExtractor();
|
|---|
| 548 | evaluator.Name = "Evaluator (extr.)";
|
|---|
| 549 | evaluator.GetVariableInfo("Operator").ActualName = "Evaluator";
|
|---|
| 550 | MeanSquaredErrorEvaluator validationEvaluator = new MeanSquaredErrorEvaluator();
|
|---|
| 551 | validationEvaluator.GetVariableInfo("MSE").ActualName = "ValidationQuality";
|
|---|
| 552 | validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
|
|---|
| 553 | validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
|
|---|
| 554 | Counter evalCounter = new Counter();
|
|---|
| 555 | evalCounter.GetVariableInfo("Value").ActualName = "EvaluatedSolutions";
|
|---|
| 556 | SubScopesRemover parentRefRemover = new SubScopesRemover();
|
|---|
| 557 |
|
|---|
| 558 | Sorter sorter = new Sorter();
|
|---|
| 559 | sorter.GetVariableInfo("Descending").ActualName = "Maximization";
|
|---|
| 560 | sorter.GetVariableInfo("Value").ActualName = "Quality";
|
|---|
| 561 |
|
|---|
| 562 |
|
|---|
| 563 | seq.AddSubOperator(selector);
|
|---|
| 564 | seq.AddSubOperator(seqScopesProc);
|
|---|
| 565 | seqScopesProc.AddSubOperator(emptyOpt);
|
|---|
| 566 | seqScopesProc.AddSubOperator(selectedProc);
|
|---|
| 567 | selectedProc.AddSubOperator(childInitializer);
|
|---|
| 568 | selectedProc.AddSubOperator(individualProc);
|
|---|
| 569 | individualProc.AddSubOperator(individualSeqProc);
|
|---|
| 570 | individualSeqProc.AddSubOperator(crossover);
|
|---|
| 571 | individualSeqProc.AddSubOperator(cond);
|
|---|
| 572 | cond.AddSubOperator(manipulator);
|
|---|
| 573 | individualSeqProc.AddSubOperator(evaluator);
|
|---|
| 574 | individualSeqProc.AddSubOperator(validationEvaluator);
|
|---|
| 575 | individualSeqProc.AddSubOperator(evalCounter);
|
|---|
| 576 | individualSeqProc.AddSubOperator(parentRefRemover);
|
|---|
| 577 | selectedProc.AddSubOperator(sorter);
|
|---|
| 578 |
|
|---|
| 579 | childCreater.OperatorGraph.AddOperator(seq);
|
|---|
| 580 | childCreater.OperatorGraph.InitialOperator = seq;
|
|---|
| 581 | return childCreater;
|
|---|
| 582 | }
|
|---|
| 583 |
|
|---|
| 584 | protected internal virtual IAnalyzerModel CreateGPModel(IScope bestModelScope) {
|
|---|
| 585 | IAnalyzerModel model = new AnalyzerModel();
|
|---|
| 586 | model.Predictor = bestModelScope.GetVariableValue<IPredictor>("Predictor", true);
|
|---|
| 587 | Dataset ds = bestModelScope.GetVariableValue<Dataset>("Dataset", true);
|
|---|
| 588 | model.Dataset = ds;
|
|---|
| 589 | model.TargetVariable = ds.GetVariableName(bestModelScope.GetVariableValue<IntData>("TargetVariable", true).Data);
|
|---|
| 590 | model.TrainingSamplesStart = bestModelScope.GetVariableValue<IntData>("TrainingSamplesStart", true).Data;
|
|---|
| 591 | model.TrainingSamplesEnd = bestModelScope.GetVariableValue<IntData>("TrainingSamplesEnd", true).Data;
|
|---|
| 592 | model.ValidationSamplesStart = bestModelScope.GetVariableValue<IntData>("ValidationSamplesStart", true).Data;
|
|---|
| 593 | model.ValidationSamplesEnd = bestModelScope.GetVariableValue<IntData>("ValidationSamplesEnd", true).Data;
|
|---|
| 594 | model.TestSamplesStart = bestModelScope.GetVariableValue<IntData>("TestSamplesStart", true).Data;
|
|---|
| 595 | model.TestSamplesEnd = bestModelScope.GetVariableValue<IntData>("TestSamplesEnd", true).Data;
|
|---|
| 596 |
|
|---|
| 597 | model.TrainingMeanSquaredError = bestModelScope.GetVariableValue<DoubleData>("TrainingMSE", false).Data;
|
|---|
| 598 | model.ValidationMeanSquaredError = bestModelScope.GetVariableValue<DoubleData>("ValidationMSE", false).Data;
|
|---|
| 599 | model.TestMeanSquaredError = bestModelScope.GetVariableValue<DoubleData>("TestMSE", false).Data;
|
|---|
| 600 | model.TrainingCoefficientOfDetermination = bestModelScope.GetVariableValue<DoubleData>("TrainingR2", false).Data;
|
|---|
| 601 | model.ValidationCoefficientOfDetermination = bestModelScope.GetVariableValue<DoubleData>("ValidationR2", false).Data;
|
|---|
| 602 | model.TestCoefficientOfDetermination = bestModelScope.GetVariableValue<DoubleData>("TestR2", false).Data;
|
|---|
| 603 | model.TrainingMeanAbsolutePercentageError = bestModelScope.GetVariableValue<DoubleData>("TrainingMAPE", false).Data;
|
|---|
| 604 | model.ValidationMeanAbsolutePercentageError = bestModelScope.GetVariableValue<DoubleData>("ValidationMAPE", false).Data;
|
|---|
| 605 | model.TestMeanAbsolutePercentageError = bestModelScope.GetVariableValue<DoubleData>("TestMAPE", false).Data;
|
|---|
| 606 | model.TrainingMeanAbsolutePercentageOfRangeError = bestModelScope.GetVariableValue<DoubleData>("TrainingMAPRE", false).Data;
|
|---|
| 607 | model.ValidationMeanAbsolutePercentageOfRangeError = bestModelScope.GetVariableValue<DoubleData>("ValidationMAPRE", false).Data;
|
|---|
| 608 | model.TestMeanAbsolutePercentageOfRangeError = bestModelScope.GetVariableValue<DoubleData>("TestMAPRE", false).Data;
|
|---|
| 609 | model.TrainingVarianceAccountedFor = bestModelScope.GetVariableValue<DoubleData>("TrainingVAF", false).Data;
|
|---|
| 610 | model.ValidationVarianceAccountedFor = bestModelScope.GetVariableValue<DoubleData>("ValidationVAF", false).Data;
|
|---|
| 611 | model.TestVarianceAccountedFor = bestModelScope.GetVariableValue<DoubleData>("TestVAF", false).Data;
|
|---|
| 612 |
|
|---|
| 613 | ItemList evaluationImpacts = bestModelScope.GetVariableValue<ItemList>("VariableEvaluationImpacts", false);
|
|---|
| 614 | ItemList qualityImpacts = bestModelScope.GetVariableValue<ItemList>("VariableQualityImpacts", false);
|
|---|
| 615 | foreach (ItemList row in evaluationImpacts) {
|
|---|
| 616 | string variableName = ((StringData)row[0]).Data;
|
|---|
| 617 | double impact = ((DoubleData)row[1]).Data;
|
|---|
| 618 | model.SetVariableEvaluationImpact(variableName, impact);
|
|---|
| 619 | model.AddInputVariable(variableName);
|
|---|
| 620 | }
|
|---|
| 621 | foreach (ItemList row in qualityImpacts) {
|
|---|
| 622 | string variableName = ((StringData)row[0]).Data;
|
|---|
| 623 | double impact = ((DoubleData)row[1]).Data;
|
|---|
| 624 | model.SetVariableQualityImpact(variableName, impact);
|
|---|
| 625 | model.AddInputVariable(variableName);
|
|---|
| 626 | }
|
|---|
| 627 |
|
|---|
| 628 | return model;
|
|---|
| 629 | }
|
|---|
| 630 |
|
|---|
| 631 | public override object Clone(IDictionary<Guid, object> clonedObjects) {
|
|---|
| 632 | AlgorithmBase clone = (AlgorithmBase)base.Clone(clonedObjects);
|
|---|
| 633 | clonedObjects.Add(Guid, clone);
|
|---|
| 634 | clone.engine = (SequentialEngine.SequentialEngine)Auxiliary.Clone(Engine, clonedObjects);
|
|---|
| 635 | return clone;
|
|---|
| 636 | }
|
|---|
| 637 |
|
|---|
| 638 | protected VariableInjector GetVariableInjector() {
|
|---|
| 639 | CombinedOperator co1 = (CombinedOperator)Engine.OperatorGraph.InitialOperator;
|
|---|
| 640 | // SequentialProcessor in GP
|
|---|
| 641 | algorithm = (SequentialProcessor)co1.OperatorGraph.InitialOperator;
|
|---|
| 642 | return (VariableInjector)algorithm.SubOperators[2];
|
|---|
| 643 | }
|
|---|
| 644 |
|
|---|
| 645 | protected RandomInjector GetRandomInjector() {
|
|---|
| 646 | CombinedOperator co1 = (CombinedOperator)Engine.OperatorGraph.InitialOperator;
|
|---|
| 647 | // SequentialProcessor in GP
|
|---|
| 648 | algorithm = (SequentialProcessor)co1.OperatorGraph.InitialOperator;
|
|---|
| 649 | return (RandomInjector)algorithm.SubOperators[0];
|
|---|
| 650 | }
|
|---|
| 651 |
|
|---|
| 652 | #region Persistence Methods
|
|---|
| 653 | public override XmlNode GetXmlNode(string name, XmlDocument document, IDictionary<Guid, IStorable> persistedObjects) {
|
|---|
| 654 | XmlNode node = base.GetXmlNode(name, document, persistedObjects);
|
|---|
| 655 | node.AppendChild(PersistenceManager.Persist("Engine", Engine, document, persistedObjects));
|
|---|
| 656 | return node;
|
|---|
| 657 | }
|
|---|
| 658 | public override void Populate(XmlNode node, IDictionary<Guid, IStorable> restoredObjects) {
|
|---|
| 659 | base.Populate(node, restoredObjects);
|
|---|
| 660 | engine = (SequentialEngine.SequentialEngine)PersistenceManager.Restore(node.SelectSingleNode("Engine"), restoredObjects);
|
|---|
| 661 | }
|
|---|
| 662 | #endregion
|
|---|
| 663 |
|
|---|
| 664 |
|
|---|
| 665 | }
|
|---|
| 666 | }
|
|---|
