source: branches/2994-AutoDiffForIntervals/HeuristicLab.Algorithms.RAPGA/3.3/Analyzers/OffspringSuccessAnalyzer.cs @ 17209

Last change on this file since 17209 was 17209, checked in by gkronber, 3 months ago

#2994: merged r17132:17198 from trunk to branch

File size: 5.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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 HEAL.Attic;
31
32namespace HeuristicLab.Algorithms.RAPGA {
33  /// <summary>
34  /// An operator which analyzes the success of the created offspring in a generation.
35  /// </summary>
36  [Item("OffspringSuccessAnalyzer", "An operator which analyzes the success of the created offspring in a generation.")]
37  [StorableType("1E42247A-C685-448C-82FF-247A598D6C10")]
38  public sealed class OffspringSuccessAnalyzer : AlgorithmOperator, IAnalyzer {
39    #region Parameter properties
40    public ILookupParameter<IntValue> NumberOfCreatedOffspringParameter {
41      get { return (ILookupParameter<IntValue>)Parameters["NumberOfCreatedOffspring"]; }
42    }
43    public ILookupParameter<IntValue> NumberOfSuccessfulOffspringParameter {
44      get { return (ILookupParameter<IntValue>)Parameters["NumberOfSuccessfulOffspring"]; }
45    }
46    public ILookupParameter<IntValue> EffortParameter {
47      get { return (ILookupParameter<IntValue>)Parameters["Effort"]; }
48    }
49    public ILookupParameter<IntValue> MaximumPopulationSizeParameter {
50      get { return (ILookupParameter<IntValue>)Parameters["MaximumPopulationSize"]; }
51    }
52    public IValueLookupParameter<DataTable> OffspringSuccessParameter {
53      get { return (IValueLookupParameter<DataTable>)Parameters["OffspringSuccess"]; }
54    }
55    public IValueLookupParameter<VariableCollection> ResultsParameter {
56      get { return (IValueLookupParameter<VariableCollection>)Parameters["Results"]; }
57    }
58    #endregion
59
60    #region Properties
61    public bool EnabledByDefault {
62      get { return true; }
63    }
64    private DataTableValuesCollector DataTableValuesCollector {
65      get { return (DataTableValuesCollector)OperatorGraph.InitialOperator; }
66    }
67    private ResultsCollector ResultsCollector {
68      get { return (ResultsCollector)DataTableValuesCollector.Successor; }
69    }
70    #endregion
71
72    #region Storing & Cloning
73    [StorableConstructor]
74    private OffspringSuccessAnalyzer(StorableConstructorFlag _) : base(_) { }
75    private OffspringSuccessAnalyzer(OffspringSuccessAnalyzer original, Cloner cloner) : base(original, cloner) { }
76    public override IDeepCloneable Clone(Cloner cloner) {
77      return new OffspringSuccessAnalyzer(this, cloner);
78    }
79    #endregion
80    public OffspringSuccessAnalyzer()
81      : base() {
82      #region Create parameters
83      Parameters.Add(new LookupParameter<IntValue>("NumberOfCreatedOffspring", "The current number of created offspring."));
84      Parameters.Add(new LookupParameter<IntValue>("NumberOfSuccessfulOffspring", "The current number of successful offspring."));
85      Parameters.Add(new LookupParameter<IntValue>("Effort", "The maximum number of offspring created in each generation."));
86      Parameters.Add(new LookupParameter<IntValue>("MaximumPopulationSize", "The maximum size of the population in the scope tree which should be analyzed."));
87      Parameters.Add(new ValueLookupParameter<DataTable>("OffspringSuccess", "The data table to store the values."));
88      Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The results collection where the analysis values should be stored."));
89      #endregion
90
91      #region Create operators
92      DataTableValuesCollector dataTableValuesCollector = new DataTableValuesCollector();
93      ResultsCollector resultsCollector = new ResultsCollector();
94
95      dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("NumberOfCreatedOffspring", null, NumberOfCreatedOffspringParameter.Name));
96      dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("NumberOfSuccessfulOffspring", null, NumberOfSuccessfulOffspringParameter.Name));
97      dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("Effort", null, EffortParameter.Name));
98      dataTableValuesCollector.CollectedValues.Add(new LookupParameter<IntValue>("MaximumPopulationSize", null, MaximumPopulationSizeParameter.Name));
99      dataTableValuesCollector.DataTableParameter.ActualName = OffspringSuccessParameter.Name;
100
101      resultsCollector.CollectedValues.Add(new LookupParameter<DataTable>(OffspringSuccessParameter.Name));
102      resultsCollector.ResultsParameter.ActualName = ResultsParameter.Name;
103      #endregion
104
105      #region Create operator graph
106      OperatorGraph.InitialOperator = dataTableValuesCollector;
107      dataTableValuesCollector.Successor = resultsCollector;
108      resultsCollector.Successor = null;
109      #endregion
110    }
111  }
112}
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