[8377] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16140] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8377] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using HeuristicLab.Analysis;
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| 23 | using HeuristicLab.Common;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Operators;
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| 27 | using HeuristicLab.Optimization;
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| 28 | using HeuristicLab.Optimization.Operators;
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| 29 | using HeuristicLab.Parameters;
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| 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 |
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| 32 | namespace HeuristicLab.Algorithms.RAPGA {
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| 33 | /// <summary>
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| 34 | /// An operator which analyzes the size of the population in a scope tree.
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| 35 | /// </summary>
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| 36 | [Item("PopulationSizeAnalyzer", "An operator which analyzes the size of the population in a scope tree.")]
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| 37 | [StorableClass]
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| 38 | public sealed class PopulationSizeAnalyzer : AlgorithmOperator, IAnalyzer {
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| 39 | #region Parameter properties
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| 40 | public ILookupParameter<IntValue> CurrentPopulationSizeParameter {
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| 41 | get { return (ILookupParameter<IntValue>)Parameters["CurrentPopulationSize"]; }
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| 42 | }
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| 43 | public ILookupParameter<IntValue> MaximumPopulationSizeParameter {
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| 44 | get { return (ILookupParameter<IntValue>)Parameters["MaximumPopulationSize"]; }
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| 45 | }
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| 46 | public ILookupParameter<IntValue> MinimumPopulationSizeParameter {
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| 47 | get { return (ILookupParameter<IntValue>)Parameters["MinimumPopulationSize"]; }
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| 48 | }
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| 49 | public IValueLookupParameter<DataTable> PopulationSizesParameter {
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| 50 | get { return (IValueLookupParameter<DataTable>)Parameters["PopulationSizes"]; }
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| 51 | }
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| 52 | public IValueLookupParameter<VariableCollection> ResultsParameter {
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| 53 | get { return (IValueLookupParameter<VariableCollection>)Parameters["Results"]; }
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| 54 | }
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| 55 | #endregion
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| 56 |
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| 57 | #region Properties
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| 58 | public bool EnabledByDefault {
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| 59 | get { return true; }
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| 60 | }
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| 61 | private DataTableValuesCollector DataTableValuesCollector {
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| 62 | get { return (DataTableValuesCollector)OperatorGraph.InitialOperator; }
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| 63 | }
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| 64 | private ResultsCollector ResultsCollector {
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| 65 | get { return (ResultsCollector)DataTableValuesCollector.Successor; }
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| 66 | }
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| 67 | #endregion
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| 68 |
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| 69 | #region Storing & Cloning
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| 70 | [StorableConstructor]
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| 71 | private PopulationSizeAnalyzer(bool deserializing) : base(deserializing) { }
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| 72 | private PopulationSizeAnalyzer(PopulationSizeAnalyzer original, Cloner cloner) : base(original, cloner) { }
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| 73 | public override IDeepCloneable Clone(Cloner cloner) {
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| 74 | return new PopulationSizeAnalyzer(this, cloner);
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| 75 | }
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| 76 | #endregion
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| 77 | public PopulationSizeAnalyzer()
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| 78 | : base() {
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| 79 | #region Create parameters
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| 80 | Parameters.Add(new LookupParameter<IntValue>("CurrentPopulationSize", "The current size of the population in the scope tree which should be analyzed."));
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| 81 | Parameters.Add(new LookupParameter<IntValue>("MaximumPopulationSize", "The maximum size of the population in the scope tree which should be analyzed."));
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| 82 | Parameters.Add(new LookupParameter<IntValue>("MinimumPopulationSize", "The minimum size of the population in the scope tree which should be analyzed."));
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| 83 | Parameters.Add(new ValueLookupParameter<DataTable>("PopulationSizes", "The data table to store the values."));
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| 84 | Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The results collection where the analysis values should be stored."));
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| 85 | #endregion
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| 86 |
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| 87 | #region Create operators
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| 88 | DataTableValuesCollector dataTableValuesCollector = new DataTableValuesCollector();
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| 89 | ResultsCollector resultsCollector = new ResultsCollector();
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| 90 |
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| 91 | dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("CurrentPopulationSize", null, CurrentPopulationSizeParameter.Name));
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| 92 | dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("MaximumPopulationSize", null, MaximumPopulationSizeParameter.Name));
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| 93 | dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("MinimumPopulationSize", null, MinimumPopulationSizeParameter.Name));
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| 94 | dataTableValuesCollector.DataTableParameter.ActualName = PopulationSizesParameter.Name;
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| 95 |
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| 96 | resultsCollector.CollectedValues.Add(new LookupParameter<DataTable>(PopulationSizesParameter.Name));
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| 97 | resultsCollector.ResultsParameter.ActualName = ResultsParameter.Name;
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| 98 | #endregion
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| 99 |
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| 100 | #region Create operator graph
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| 101 | OperatorGraph.InitialOperator = dataTableValuesCollector;
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| 102 | dataTableValuesCollector.Successor = resultsCollector;
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| 103 | resultsCollector.Successor = null;
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| 104 | #endregion
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| 105 | }
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| 106 | }
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| 107 | }
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