[13865] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using HeuristicLab.Common;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 27 | using HeuristicLab.Random;
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| 28 | namespace HeuristicLab.Problems.GeneticProgramming.GlucosePrediction {
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| 29 | [StorableClass]
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| 30 | public class CurvedInsVariableTreeNode : SymbolicExpressionTreeTerminalNode {
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| 31 | public new CurvedInsVariableSymbol Symbol {
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| 32 | get { return (CurvedInsVariableSymbol)base.Symbol; }
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| 33 | }
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[13867] | 34 |
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| 35 | [Storable]
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| 36 | private double alpha;
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| 37 | public double Alpha {
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| 38 | get { return alpha; }
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| 39 | set { alpha = value; }
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| 40 | }
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| 41 |
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| 42 | [Storable]
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| 43 | private double beta;
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| 44 | public double Beta {
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| 45 | get { return beta; }
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| 46 | set { beta = value; }
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| 47 | }
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| 48 |
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| 49 | [Storable]
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| 50 | private double weight;
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| 51 | public double Weight {
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| 52 | get { return weight; }
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| 53 | set { weight = value; }
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| 54 | }
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[13865] | 55 | [StorableConstructor]
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| 56 | protected CurvedInsVariableTreeNode(bool deserializing) : base(deserializing) { }
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| 57 | protected CurvedInsVariableTreeNode(CurvedInsVariableTreeNode original, Cloner cloner)
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| 58 | : base(original, cloner) {
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[13867] | 59 | this.alpha = original.alpha;
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| 60 | this.beta = original.beta;
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| 61 | this.weight = original.weight;
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[13865] | 62 | }
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| 63 | protected CurvedInsVariableTreeNode() { }
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| 64 | public CurvedInsVariableTreeNode(CurvedInsVariableSymbol variableSymbol) : base(variableSymbol) { }
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| 65 |
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| 66 | public override bool HasLocalParameters {
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[13867] | 67 | get { return true; }
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[13865] | 68 | }
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| 69 |
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| 70 | public override void ResetLocalParameters(IRandom random) {
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| 71 | base.ResetLocalParameters(random);
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[13867] | 72 | alpha = UniformDistributedRandom.NextDouble(random, Symbol.MinAlpha, Symbol.MaxAlpha);
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| 73 | beta = UniformDistributedRandom.NextDouble(random, Symbol.MinBeta, Symbol.MaxBeta);
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| 74 | weight = NormalDistributedRandom.NextDouble(random, 0, 10);
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[13865] | 75 | }
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| 76 |
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| 77 | public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
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| 78 | base.ShakeLocalParameters(random, shakingFactor);
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[13867] | 79 | weight += NormalDistributedRandom.NextDouble(random, 0, 1.0 * shakingFactor);
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| 80 | alpha += NormalDistributedRandom.NextDouble(random, 0, 1 * shakingFactor);
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| 81 | beta += NormalDistributedRandom.NextDouble(random, 0, 1 * shakingFactor);
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| 82 |
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| 83 | alpha = Math.Min(Symbol.MaxAlpha, Math.Max(Symbol.MinAlpha, alpha));
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| 84 | beta = Math.Min(Symbol.MinBeta, Math.Max(Symbol.MinBeta, beta));
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[13865] | 85 | }
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| 86 |
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| 87 | public override IDeepCloneable Clone(Cloner cloner) {
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| 88 | return new CurvedInsVariableTreeNode(this, cloner);
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| 89 | }
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| 90 |
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| 91 | public override string ToString() {
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[13867] | 92 | return string.Format("{0:N3}*curvedIns(alpha: {1:N3}, beta: {2:N3})", weight, alpha, beta);
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[13865] | 93 | }
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| 94 | }
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| 95 | }
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