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source: branches/HeuristicLab.Problems.GeneticProgramming.BloodGlucosePrediction/RealInsulineVariableTreeNode.cs @ 16332

Last change on this file since 16332 was 13867, checked in by gkronber, 9 years ago

#2608 worked on glucose prediction problem

File size: 3.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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 System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27using HeuristicLab.Random;
28
29namespace HeuristicLab.Problems.GeneticProgramming.GlucosePrediction {
30  [StorableClass]
31  public class RealInsulineVariableTreeNode : SymbolicExpressionTreeTerminalNode {
32    public new RealInsulineVariableSymbol Symbol {
33      get { return (RealInsulineVariableSymbol)base.Symbol; }
34    }
35    [Storable]
36    private int rowOffset;
37    public int RowOffset {
38      get { return rowOffset; }
39      set { rowOffset = value; }
40    }
41    [Storable]
42    private double weight;
43    public double Weight {
44      get { return weight; }
45      set { weight = value; }
46    }
47    [StorableConstructor]
48    protected RealInsulineVariableTreeNode(bool deserializing) : base(deserializing) { }
49    protected RealInsulineVariableTreeNode(RealInsulineVariableTreeNode original, Cloner cloner)
50      : base(original, cloner) {
51      rowOffset = original.rowOffset;
52      weight = original.weight;
53    }
54    protected RealInsulineVariableTreeNode() { }
55    public RealInsulineVariableTreeNode(RealInsulineVariableSymbol variableSymbol) : base(variableSymbol) { }
56
57    public override bool HasLocalParameters {
58      get { return true; }
59    }
60
61    public override void ResetLocalParameters(IRandom random) {
62      base.ResetLocalParameters(random);
63      rowOffset = random.Next(Symbol.MinRowOffset, Symbol.MaxRowOffset + 1);
64      weight = NormalDistributedRandom.NextDouble(random, 0, 10);
65    }
66
67    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
68      base.ShakeLocalParameters(random, shakingFactor);
69
70      // increase or decrease offset by one
71      rowOffset += random.NextDouble() > 0.5 ? +1 : -1;
72      rowOffset = Math.Max(rowOffset, Symbol.MinRowOffset);
73      rowOffset = Math.Min(rowOffset, Symbol.MaxRowOffset);
74      weight += NormalDistributedRandom.NextDouble(random, 0, 1.0 * shakingFactor);
75    }
76
77    public override IDeepCloneable Clone(Cloner cloner) {
78      return new RealInsulineVariableTreeNode(this, cloner);
79    }
80
81    public override string ToString() {
82      return string.Format("{0:N3}*realIns(k{1})", weight, rowOffset);
83    }
84  }
85}
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