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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisMultiObjectiveAnalyzer.cs @ 6593

Last change on this file since 6593 was 5809, checked in by mkommend, 14 years ago

#1418: Reintegrated branch into trunk.

File size: 2.9 KB
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[5557]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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 System.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
28using HeuristicLab.Operators;
29using HeuristicLab.Parameters;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31using HeuristicLab.Optimization;
32
33namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
34  /// <summary>
35  /// Abstract base class for multi objective symbolic data analysis analyzers.
36  /// </summary>
37  [StorableClass]
38  public abstract class SymbolicDataAnalysisMultiObjectiveAnalyzer : SymbolicDataAnalysisAnalyzer, ISymbolicDataAnalysisMultiObjectiveAnalyzer {
39    private const string QualitiesParameterName = "Qualities";
40    private const string MaximizationParameterName = "Maximization";
41    #region parameter properties
42    public IScopeTreeLookupParameter<DoubleArray> QualitiesParameter {
43      get { return (IScopeTreeLookupParameter<DoubleArray>)Parameters[QualitiesParameterName]; }
44    }
45    public ILookupParameter<BoolArray> MaximizationParameter {
46      get { return (ILookupParameter<BoolArray>)Parameters[MaximizationParameterName]; }
47    }
48    #endregion
49    #region properties
50    public ItemArray<DoubleArray> Qualities {
51      get { return QualitiesParameter.ActualValue; }
52    }
53    public BoolArray Maximization {
54      get { return MaximizationParameter.ActualValue; }
55    }
56    #endregion
57    [StorableConstructor]
58    protected SymbolicDataAnalysisMultiObjectiveAnalyzer(bool deserializing) : base(deserializing) { }
59    protected SymbolicDataAnalysisMultiObjectiveAnalyzer(SymbolicDataAnalysisMultiObjectiveAnalyzer original, Cloner cloner)
60      : base(original, cloner) {
61    }
62    public SymbolicDataAnalysisMultiObjectiveAnalyzer()
63      : base() {
64      Parameters.Add(new ScopeTreeLookupParameter<DoubleArray>(QualitiesParameterName, "The qualities of the trees that should be analyzed."));
65      Parameters.Add(new LookupParameter<BoolArray>(MaximizationParameterName, "The directions of optimization for each dimension."));
66    }
67  }
68}
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