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source: branches/DataAnalysis.IslandAlgorithms/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Symbols/VariableTreeNode.cs @ 14746

Last change on this file since 14746 was 11646, checked in by mkommend, 10 years ago

#1997: Merged trunk changes to data analysis island GA branch.

File size: 3.2 KB
RevLine 
[3253]1#region License Information
2/* HeuristicLab
[11646]3 * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[3253]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
[4722]22using HeuristicLab.Common;
[4068]23using HeuristicLab.Core;
[3253]24using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
[3269]26using HeuristicLab.Random;
[5532]27namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
[3253]28  [StorableClass]
[4022]29  public class VariableTreeNode : SymbolicExpressionTreeTerminalNode {
[3269]30    public new Variable Symbol {
31      get { return (Variable)base.Symbol; }
32    }
[3485]33    [Storable]
[3253]34    private double weight;
35    public double Weight {
36      get { return weight; }
37      set { weight = value; }
38    }
[3485]39    [Storable]
[3253]40    private string variableName;
41    public string VariableName {
42      get { return variableName; }
43      set { variableName = value; }
44    }
45
[4722]46    [StorableConstructor]
47    protected VariableTreeNode(bool deserializing) : base(deserializing) { }
48    protected VariableTreeNode(VariableTreeNode original, Cloner cloner)
49      : base(original, cloner) {
[3253]50      weight = original.weight;
51      variableName = original.variableName;
52    }
[4722]53    protected VariableTreeNode() { }
[3253]54    public VariableTreeNode(Variable variableSymbol) : base(variableSymbol) { }
55
[3442]56    public override bool HasLocalParameters {
[5467]57      get { return true; }
[3442]58    }
59
[3269]60    public override void ResetLocalParameters(IRandom random) {
61      base.ResetLocalParameters(random);
[4989]62      weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightMu, Symbol.WeightSigma);
[3512]63      variableName = Symbol.VariableNames.SelectRandom(random);
[3269]64    }
65
[3512]66    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
67      base.ShakeLocalParameters(random, shakingFactor);
[5326]68      // 50% additive & 50% multiplicative
69      if (random.NextDouble() < 0) {
70        double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorMu, Symbol.WeightManipulatorSigma);
71        weight = weight + x * shakingFactor;
72      } else {       
73        double x = NormalDistributedRandom.NextDouble(random, 1.0, Symbol.MultiplicativeWeightManipulatorSigma);
74        weight = weight * x;
75      }
[3512]76      variableName = Symbol.VariableNames.SelectRandom(random);
77    }
78
[4722]79    public override IDeepCloneable Clone(Cloner cloner) {
80      return new VariableTreeNode(this, cloner);
[3253]81    }
[3442]82
83    public override string ToString() {
[4239]84      if (weight.IsAlmost(1.0)) return variableName;
85      else return weight.ToString("E4") + " " + variableName;
[3442]86    }
[3253]87  }
88}
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