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source: branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Symbols/ConstantTreeNode.cs

Last change on this file was 17246, checked in by gkronber, 5 years ago

#2925: merged r17037:17242 from trunk to branch

File size: 2.9 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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 HEAL.Attic;
26using HeuristicLab.Random;
27namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
28  [StorableType("247DBD04-18F2-4184-B6F5-6E283BF06FD0")]
29  public sealed class ConstantTreeNode : SymbolicExpressionTreeTerminalNode {
30    public new Constant Symbol {
31      get { return (Constant)base.Symbol; }
32    }
33
34    private double constantValue;
35    [Storable]
36    public double Value {
37      get { return constantValue; }
38      set { constantValue = value; }
39    }
40
41    [StorableConstructor]
42    private ConstantTreeNode(StorableConstructorFlag _) : base(_) { }
43
44    private ConstantTreeNode(ConstantTreeNode original, Cloner cloner)
45      : base(original, cloner) {
46      constantValue = original.constantValue;
47    }
48
49    private ConstantTreeNode() : base() { }
50    public ConstantTreeNode(Constant constantSymbol) : base(constantSymbol) { }
51
52    public override bool HasLocalParameters {
53      get {
54        return true;
55      }
56    }
57    public override void ResetLocalParameters(IRandom random) {
58      base.ResetLocalParameters(random);
59      var range = Symbol.MaxValue - Symbol.MinValue;
60      Value = random.NextDouble() * range + Symbol.MinValue;
61    }
62
63    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
64      base.ShakeLocalParameters(random, shakingFactor);
65      // 50% additive & 50% multiplicative
66      if (random.NextDouble() < 0.5) {
67        double x = NormalDistributedRandom.NextDouble(random, Symbol.ManipulatorMu, Symbol.ManipulatorSigma);
68        Value = Value + x * shakingFactor;
69      } else {
70        double x = NormalDistributedRandom.NextDouble(random, 1.0, Symbol.MultiplicativeManipulatorSigma);
71        Value = Value * x;
72      }
73    }
74
75    public override IDeepCloneable Clone(Cloner cloner) {
76      return new ConstantTreeNode(this, cloner);
77    }
78
79    public override string ToString() {
80      return constantValue.ToString("E4");
81    }
82  }
83}
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