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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/Symbolic/Symbols/VariableTreeNode.cs @ 4068

Last change on this file since 4068 was 4068, checked in by swagner, 14 years ago

Sorted usings and removed unused usings in entire solution (#1094)

File size: 2.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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.Core;
23using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
25using HeuristicLab.Random;
26namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
27  [StorableClass]
28  public class VariableTreeNode : SymbolicExpressionTreeTerminalNode {
29    public new Variable Symbol {
30      get { return (Variable)base.Symbol; }
31    }
32    [Storable]
33    private double weight;
34    public double Weight {
35      get { return weight; }
36      set { weight = value; }
37    }
38    [Storable]
39    private string variableName;
40    public string VariableName {
41      get { return variableName; }
42      set { variableName = value; }
43    }
44
45
46    protected VariableTreeNode() { }
47
48    // copy constructor
49    protected VariableTreeNode(VariableTreeNode original)
50      : base(original) {
51      weight = original.weight;
52      variableName = original.variableName;
53    }
54
55    public VariableTreeNode(Variable variableSymbol) : base(variableSymbol) { }
56
57    public override bool HasLocalParameters {
58      get {
59        return true;
60      }
61    }
62
63    public override void ResetLocalParameters(IRandom random) {
64      base.ResetLocalParameters(random);
65      weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightNu, Symbol.WeightSigma);
66      variableName = Symbol.VariableNames.SelectRandom(random);
67    }
68
69    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
70      base.ShakeLocalParameters(random, shakingFactor);
71      double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorNu, Symbol.WeightManipulatorSigma);
72      weight = weight + x * shakingFactor;
73      variableName = Symbol.VariableNames.SelectRandom(random);
74    }
75
76
77    public override object Clone() {
78      return new VariableTreeNode(this);
79    }
80
81    public override string ToString() {
82      return weight.ToString("E4") + " " + variableName;
83    }
84  }
85}
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