source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/Symbolic/Symbols/LaggedVariableTreeNode.cs @ 3997

Last change on this file since 3997 was 3997, checked in by gkronber, 11 years ago

Minor improvements concerning efficiency of symbolic expression tree encoding data structures and operators. #1073

File size: 3.2 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.Encodings.SymbolicExpressionTreeEncoding;
23using System;
24using System.Collections.Generic;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Random;
30namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
31  [StorableClass]
32  public sealed class LaggedVariableTreeNode : SymbolicExpressionTreeTerminalNode {
33    public new LaggedVariable Symbol {
34      get { return (LaggedVariable)base.Symbol; }
35    }
36    [Storable]
37    private double weight;
38    public double Weight {
39      get { return weight; }
40      set { weight = value; }
41    }
42    [Storable]
43    private string variableName;
44    public string VariableName {
45      get { return variableName; }
46      set { variableName = value; }
47    }
48    [Storable]
49    private int lag;
50    public int Lag {
51      get { return lag; }
52      set { lag = value; }
53    }
54
55    private LaggedVariableTreeNode() { }
56
57    // copy constructor
58    private LaggedVariableTreeNode(LaggedVariableTreeNode original)
59      : base(original) {
60      weight = original.weight;
61      variableName = original.variableName;
62      lag = original.lag;
63    }
64
65    public LaggedVariableTreeNode(LaggedVariable variableSymbol) : base(variableSymbol) { }
66
67    public override bool HasLocalParameters {
68      get {
69        return true;
70      }
71    }
72
73    public override void ResetLocalParameters(IRandom random) {
74      base.ResetLocalParameters(random);
75      weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightNu, Symbol.WeightSigma);
76      variableName = Symbol.VariableNames.SelectRandom(random);
77      lag = random.Next(Symbol.MinLag, Symbol.MaxLag + 1);
78    }
79
80    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
81      base.ShakeLocalParameters(random, shakingFactor);
82      double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorNu, Symbol.WeightManipulatorSigma);
83      weight = weight + x * shakingFactor;
84      variableName = Symbol.VariableNames.SelectRandom(random);
85      lag = lag + random.Next(-1, 2);
86    }
87
88
89    public override object Clone() {
90      return new LaggedVariableTreeNode(this);
91    }
92
93    public override string ToString() {
94      return weight.ToString("E4") + " " + variableName + " (t" + (lag > 0 ? "+" : "") + lag + ")";
95    }
96  }
97}
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