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source: branches/CloningRefactoring/HeuristicLab.Problems.ExternalEvaluation.GP/3.3/Symbols/VariableTreeNode.cs @ 4682

Last change on this file since 4682 was 4682, checked in by mkommend, 12 years ago

Refactored ExternalEvaluation.* and fixed some errors and warnings (ticket #922).

File size: 3.1 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.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Random;
27
28namespace HeuristicLab.Problems.ExternalEvaluation.GP {
29  [StorableClass]
30  public sealed class VariableTreeNode : SymbolicExpressionTreeTerminalNode {
31    public new Variable Symbol {
32      get { return (Variable)base.Symbol; }
33    }
34    [Storable]
35    private double weight;
36    public double Weight {
37      get { return weight; }
38      set { weight = value; }
39    }
40    [Storable]
41    private string variableName;
42    public string VariableName {
43      get { return variableName; }
44      set { variableName = value; }
45    }
46
47
48    private VariableTreeNode() { }
49
50    [StorableConstructor]
51    private VariableTreeNode(bool deserializing) : base(deserializing) { }
52    private VariableTreeNode(VariableTreeNode original, Cloner cloner)
53      : base(original, cloner) {
54      weight = original.weight;
55      variableName = original.variableName;
56    }
57    public override IDeepCloneable Clone(Cloner cloner) {
58      return new VariableTreeNode(this, cloner);
59    }
60
61    public VariableTreeNode(Variable variableSymbol) : base(variableSymbol) { }
62
63    public override bool HasLocalParameters {
64      get { return true; }
65    }
66
67    public override void ResetLocalParameters(IRandom random) {
68      base.ResetLocalParameters(random);
69      var normalDistributedRNG = new NormalDistributedRandom(random, Symbol.WeightNu, Symbol.WeightSigma);
70      weight = normalDistributedRNG.NextDouble();
71      variableName = Symbol.VariableNames.SelectRandom(random);
72    }
73
74    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
75      base.ShakeLocalParameters(random, shakingFactor);
76      var normalDistributedRNG = new NormalDistributedRandom(random, Symbol.WeightManipulatorNu, Symbol.WeightManipulatorSigma);
77      double x = normalDistributedRNG.NextDouble();
78      weight = weight + x * shakingFactor;
79      variableName = Symbol.VariableNames.SelectRandom(random);
80    }
81
82    public override string ToString() {
83      return ";" + variableName + ";" + weight.ToString("E4");
84    }
85  }
86}
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