[7476] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[11171] | 3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[7476] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Collections;
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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.Encodings.SymbolicExpressionTreeEncoding;
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| 29 | using HeuristicLab.Operators;
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| 30 | using HeuristicLab.Optimization;
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| 31 | using HeuristicLab.Parameters;
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| 32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 33 | using HeuristicLab.PluginInfrastructure;
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| 34 |
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[7506] | 35 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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[7481] | 36 | [Item("MultiSymbolicDataAnalysisExpressionCrossover", "Randomly selects and applies one of its crossovers every time it is called.")]
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| 37 | public class MultiSymbolicDataAnalysisExpressionCrossover<T> : StochasticMultiBranch<ISymbolicExpressionTreeCrossover>,
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[7506] | 38 | ISymbolicDataAnalysisExpressionCrossover<T> where T : class, IDataAnalysisProblemData {
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| 39 | private const string ParentsParameterName = "Parents";
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| 40 | private const string ChildParameterName = "Child";
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[7476] | 41 | private const string MaximumSymbolicExpressionTreeLengthParameterName = "MaximumSymbolicExpressionTreeLength";
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| 42 | private const string MaximumSymbolicExpressionTreeDepthParameterName = "MaximumSymbolicExpressionTreeDepth";
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[7506] | 43 | private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicExpressionTreeInterpreter";
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[7476] | 44 | private const string EvaluatorParameterName = "Evaluator";
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| 45 | private const string SymbolicDataAnalysisEvaluationPartitionParameterName = "EvaluationPartition";
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[7506] | 46 | private const string RelativeNumberOfEvaluatedSamplesParameterName = "RelativeNumberOfEvaluatedSamples";
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| 47 | private const string ProblemDataParameterName = "ProblemData";
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[7476] | 48 |
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| 49 | protected override bool CreateChildOperation {
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| 50 | get { return true; }
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| 51 | }
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| 52 |
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[7521] | 53 | public override bool CanChangeName {
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| 54 | get { return false; }
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| 55 | }
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| 56 |
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[7476] | 57 | #region parameter properties
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[7506] | 58 | public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
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| 59 | get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
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| 60 | }
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[7476] | 61 | public ILookupParameter<ItemArray<ISymbolicExpressionTree>> ParentsParameter {
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| 62 | get { return (ScopeTreeLookupParameter<ISymbolicExpressionTree>)Parameters[ParentsParameterName]; }
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| 63 | }
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| 64 | public ILookupParameter<ISymbolicExpressionTree> ChildParameter {
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| 65 | get { return (ILookupParameter<ISymbolicExpressionTree>)Parameters[ChildParameterName]; }
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| 66 | }
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| 67 | public IValueLookupParameter<IntValue> MaximumSymbolicExpressionTreeLengthParameter {
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| 68 | get { return (IValueLookupParameter<IntValue>)Parameters[MaximumSymbolicExpressionTreeLengthParameterName]; }
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| 69 | }
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| 70 | public IValueLookupParameter<IntValue> MaximumSymbolicExpressionTreeDepthParameter {
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| 71 | get { return (IValueLookupParameter<IntValue>)Parameters[MaximumSymbolicExpressionTreeDepthParameterName]; }
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| 72 | }
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| 73 | public ILookupParameter<ISymbolicDataAnalysisSingleObjectiveEvaluator<T>> EvaluatorParameter {
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| 74 | get { return (ILookupParameter<ISymbolicDataAnalysisSingleObjectiveEvaluator<T>>)Parameters[EvaluatorParameterName]; }
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| 75 | }
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[7506] | 76 | public IValueLookupParameter<IntRange> EvaluationPartitionParameter {
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[7476] | 77 | get { return (IValueLookupParameter<IntRange>)Parameters[SymbolicDataAnalysisEvaluationPartitionParameterName]; }
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| 78 | }
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[7506] | 79 | public IValueLookupParameter<PercentValue> RelativeNumberOfEvaluatedSamplesParameter {
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| 80 | get { return (IValueLookupParameter<PercentValue>)Parameters[RelativeNumberOfEvaluatedSamplesParameterName]; }
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| 81 | }
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| 82 | public IValueLookupParameter<T> ProblemDataParameter {
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| 83 | get { return (IValueLookupParameter<T>)Parameters[ProblemDataParameterName]; }
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| 84 | }
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[7476] | 85 | #endregion
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| 86 |
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| 87 | [StorableConstructor]
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| 88 | protected MultiSymbolicDataAnalysisExpressionCrossover(bool deserializing) : base(deserializing) { }
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| 89 | protected MultiSymbolicDataAnalysisExpressionCrossover(MultiSymbolicDataAnalysisExpressionCrossover<T> original, Cloner cloner) : base(original, cloner) { }
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| 90 | public override IDeepCloneable Clone(Cloner cloner) { return new MultiSymbolicDataAnalysisExpressionCrossover<T>(this, cloner); }
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| 91 | public MultiSymbolicDataAnalysisExpressionCrossover()
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| 92 | : base() {
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[7506] | 93 | Parameters.Add(new ValueLookupParameter<PercentValue>(RelativeNumberOfEvaluatedSamplesParameterName, "The relative number of samples of the dataset partition, which should be randomly chosen for evaluation between the start and end index."));
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| 94 | Parameters.Add(new ValueLookupParameter<T>(ProblemDataParameterName, "The problem data on which the symbolic data analysis solution should be evaluated."));
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| 95 | Parameters.Add(new LookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicDataAnalysisTreeInterpreterParameterName, "The interpreter that should be used to calculate the output values of the symbolic data analysis tree."));
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[7476] | 96 | Parameters.Add(new ValueLookupParameter<IntValue>(MaximumSymbolicExpressionTreeLengthParameterName, "The maximal length (number of nodes) of the symbolic expression tree."));
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| 97 | Parameters.Add(new ValueLookupParameter<IntValue>(MaximumSymbolicExpressionTreeDepthParameterName, "The maximal depth of the symbolic expression tree (a tree with one node has depth = 0)."));
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| 98 | Parameters.Add(new LookupParameter<ISymbolicDataAnalysisSingleObjectiveEvaluator<T>>(EvaluatorParameterName, "The single objective solution evaluator"));
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| 99 | Parameters.Add(new ValueLookupParameter<IntRange>(SymbolicDataAnalysisEvaluationPartitionParameterName, "The start index of the dataset partition on which the symbolic data analysis solution should be evaluated."));
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| 100 | Parameters.Add(new ScopeTreeLookupParameter<ISymbolicExpressionTree>(ParentsParameterName, "The parent symbolic expression trees which should be crossed."));
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| 101 | Parameters.Add(new LookupParameter<ISymbolicExpressionTree>(ChildParameterName, "The child symbolic expression tree resulting from the crossover."));
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| 102 |
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[7506] | 103 | EvaluatorParameter.Hidden = true;
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| 104 | EvaluationPartitionParameter.Hidden = true;
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| 105 | SymbolicDataAnalysisTreeInterpreterParameter.Hidden = true;
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| 106 | ProblemDataParameter.Hidden = true;
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| 107 | RelativeNumberOfEvaluatedSamplesParameter.Hidden = true;
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| 108 |
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| 109 | InitializeOperators();
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[7521] | 110 | name = "MultiSymbolicDataAnalysisExpressionCrossover";
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[10346] | 111 |
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| 112 | SelectedOperatorParameter.ActualName = "SelectedCrossoverOperator";
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[7506] | 113 | }
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| 114 |
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| 115 | private void InitializeOperators() {
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[7481] | 116 | var list = ApplicationManager.Manager.GetInstances<ISymbolicExpressionTreeCrossover>().ToList();
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| 117 | var dataAnalysisCrossovers = from type in ApplicationManager.Manager.GetTypes(typeof(ISymbolicDataAnalysisExpressionCrossover<T>))
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| 118 | where this.GetType().Assembly == type.Assembly
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| 119 | where !typeof(IMultiOperator<ISymbolicExpressionTreeCrossover>).IsAssignableFrom(type)
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| 120 | select (ISymbolicDataAnalysisExpressionCrossover<T>)Activator.CreateInstance(type);
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| 121 | list.AddRange(dataAnalysisCrossovers);
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[7476] | 122 |
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[7481] | 123 | var checkedItemList = new CheckedItemList<ISymbolicExpressionTreeCrossover>();
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[7476] | 124 | checkedItemList.AddRange(list.OrderBy(op => op.Name));
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[7489] | 125 | Operators = checkedItemList;
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[7481] | 126 | Operators_ItemsAdded(this, new CollectionItemsChangedEventArgs<IndexedItem<ISymbolicExpressionTreeCrossover>>(Operators.CheckedItems));
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[7476] | 127 | }
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| 128 |
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| 129 | public ISymbolicExpressionTree Crossover(IRandom random, ISymbolicExpressionTree parent0, ISymbolicExpressionTree parent1) {
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| 130 | double sum = Operators.CheckedItems.Sum(o => Probabilities[o.Index]);
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| 131 | if (sum.IsAlmost(0)) throw new InvalidOperationException(Name + ": All selected operators have zero probability.");
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| 132 | double r = random.NextDouble() * sum;
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| 133 | sum = 0;
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| 134 | int index = -1;
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| 135 | foreach (var indexedItem in Operators.CheckedItems) {
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| 136 | sum += Probabilities[indexedItem.Index];
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| 137 | if (sum > r) {
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| 138 | index = indexedItem.Index;
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| 139 | break;
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| 140 | }
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| 141 | }
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| 142 | return Operators[index].Crossover(random, parent0, parent1);
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| 143 | }
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| 144 |
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[7481] | 145 | protected override void Operators_ItemsReplaced(object sender, CollectionItemsChangedEventArgs<IndexedItem<ISymbolicExpressionTreeCrossover>> e) {
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[7476] | 146 | base.Operators_ItemsReplaced(sender, e);
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| 147 | ParameterizeCrossovers();
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| 148 | }
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| 149 |
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[7481] | 150 | protected override void Operators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<ISymbolicExpressionTreeCrossover>> e) {
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[7476] | 151 | base.Operators_ItemsAdded(sender, e);
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| 152 | ParameterizeCrossovers();
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| 153 | }
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| 154 |
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| 155 | private void ParameterizeCrossovers() {
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[7506] | 156 | foreach (ISymbolicExpressionTreeCrossover op in Operators) {
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| 157 | op.ChildParameter.ActualName = ChildParameter.Name;
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| 158 | op.ParentsParameter.ActualName = ParentsParameter.Name;
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| 159 | }
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[7476] | 160 | foreach (IStochasticOperator op in Operators.OfType<IStochasticOperator>()) {
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| 161 | op.RandomParameter.ActualName = RandomParameter.Name;
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| 162 | }
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| 163 | foreach (ISymbolicExpressionTreeSizeConstraintOperator op in Operators.OfType<ISymbolicExpressionTreeSizeConstraintOperator>()) {
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| 164 | op.MaximumSymbolicExpressionTreeDepthParameter.ActualName = MaximumSymbolicExpressionTreeDepthParameter.Name;
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| 165 | op.MaximumSymbolicExpressionTreeLengthParameter.ActualName = MaximumSymbolicExpressionTreeLengthParameter.Name;
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| 166 | }
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[7506] | 167 |
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| 168 | foreach (ISymbolicDataAnalysisInterpreterOperator op in Operators.OfType<ISymbolicDataAnalysisInterpreterOperator>()) {
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| 169 | op.SymbolicDataAnalysisTreeInterpreterParameter.ActualName = SymbolicDataAnalysisTreeInterpreterParameter.Name;
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[7476] | 170 | }
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[7506] | 171 | foreach (var op in Operators.OfType<ISymbolicDataAnalysisExpressionCrossover<T>>()) {
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| 172 | op.ProblemDataParameter.ActualName = ProblemDataParameter.Name;
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| 173 | op.EvaluationPartitionParameter.ActualName = EvaluationPartitionParameter.Name;
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| 174 | op.RelativeNumberOfEvaluatedSamplesParameter.ActualName = RelativeNumberOfEvaluatedSamplesParameter.Name;
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| 175 | op.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
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| 176 | }
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[7476] | 177 | }
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| 178 | }
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| 179 | }
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