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source: branches/2434_crossvalidation/HeuristicLab.Algorithms.RAPGA/3.3/Analyzers/PopulationSizeAnalyzer.cs @ 15647

Last change on this file since 15647 was 12012, checked in by ascheibe, 10 years ago

#2212 merged r12008, r12009, r12010 back into trunk

File size: 5.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Analysis;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Operators;
27using HeuristicLab.Optimization;
28using HeuristicLab.Optimization.Operators;
29using HeuristicLab.Parameters;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31
32namespace HeuristicLab.Algorithms.RAPGA {
33  /// <summary>
34  /// An operator which analyzes the size of the population in a scope tree.
35  /// </summary>
36  [Item("PopulationSizeAnalyzer", "An operator which analyzes the size of the population in a scope tree.")]
37  [StorableClass]
38  public sealed class PopulationSizeAnalyzer : AlgorithmOperator, IAnalyzer {
39    #region Parameter properties
40    public ILookupParameter<IntValue> CurrentPopulationSizeParameter {
41      get { return (ILookupParameter<IntValue>)Parameters["CurrentPopulationSize"]; }
42    }
43    public ILookupParameter<IntValue> MaximumPopulationSizeParameter {
44      get { return (ILookupParameter<IntValue>)Parameters["MaximumPopulationSize"]; }
45    }
46    public ILookupParameter<IntValue> MinimumPopulationSizeParameter {
47      get { return (ILookupParameter<IntValue>)Parameters["MinimumPopulationSize"]; }
48    }
49    public IValueLookupParameter<DataTable> PopulationSizesParameter {
50      get { return (IValueLookupParameter<DataTable>)Parameters["PopulationSizes"]; }
51    }
52    public IValueLookupParameter<VariableCollection> ResultsParameter {
53      get { return (IValueLookupParameter<VariableCollection>)Parameters["Results"]; }
54    }
55    #endregion
56
57    #region Properties
58    public bool EnabledByDefault {
59      get { return true; }
60    }
61    private DataTableValuesCollector DataTableValuesCollector {
62      get { return (DataTableValuesCollector)OperatorGraph.InitialOperator; }
63    }
64    private ResultsCollector ResultsCollector {
65      get { return (ResultsCollector)DataTableValuesCollector.Successor; }
66    }
67    #endregion
68
69    #region Storing & Cloning
70    [StorableConstructor]
71    private PopulationSizeAnalyzer(bool deserializing) : base(deserializing) { }
72    private PopulationSizeAnalyzer(PopulationSizeAnalyzer original, Cloner cloner) : base(original, cloner) { }
73    public override IDeepCloneable Clone(Cloner cloner) {
74      return new PopulationSizeAnalyzer(this, cloner);
75    }
76    #endregion
77    public PopulationSizeAnalyzer()
78      : base() {
79      #region Create parameters
80      Parameters.Add(new LookupParameter<IntValue>("CurrentPopulationSize", "The current size of the population in the scope tree which should be analyzed."));
81      Parameters.Add(new LookupParameter<IntValue>("MaximumPopulationSize", "The maximum size of the population in the scope tree which should be analyzed."));
82      Parameters.Add(new LookupParameter<IntValue>("MinimumPopulationSize", "The minimum size of the population in the scope tree which should be analyzed."));
83      Parameters.Add(new ValueLookupParameter<DataTable>("PopulationSizes", "The data table to store the values."));
84      Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The results collection where the analysis values should be stored."));
85      #endregion
86
87      #region Create operators
88      DataTableValuesCollector dataTableValuesCollector = new DataTableValuesCollector();
89      ResultsCollector resultsCollector = new ResultsCollector();
90
91      dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("CurrentPopulationSize", null, CurrentPopulationSizeParameter.Name));
92      dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("MaximumPopulationSize", null, MaximumPopulationSizeParameter.Name));
93      dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("MinimumPopulationSize", null, MinimumPopulationSizeParameter.Name));
94      dataTableValuesCollector.DataTableParameter.ActualName = PopulationSizesParameter.Name;
95
96      resultsCollector.CollectedValues.Add(new LookupParameter<DataTable>(PopulationSizesParameter.Name));
97      resultsCollector.ResultsParameter.ActualName = ResultsParameter.Name;
98      #endregion
99
100      #region Create operator graph
101      OperatorGraph.InitialOperator = dataTableValuesCollector;
102      dataTableValuesCollector.Successor = resultsCollector;
103      resultsCollector.Successor = null;
104      #endregion
105    }
106  }
107}
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