1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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 HeuristicLab.Common;
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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Operators;
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26 | using HeuristicLab.Parameters;
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27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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28 |
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29 | namespace HeuristicLab.Random {
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30 | /// <summary>
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31 | /// Normally distributed random number generator.
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32 | /// </summary>
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33 | [StorableClass]
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34 | [Item("NormalRandomizer", "Initializes the value of variable 'Value' to a random value normally distributed with parameters 'Mu' and 'Sigma'")]
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35 | public class NormalRandomizer : SingleSuccessorOperator {
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36 | #region Parameter Properties
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37 | public ILookupParameter<IRandom> RandomParameter {
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38 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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39 | }
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40 | public IValueLookupParameter<DoubleValue> MuParameter {
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41 | get { return (IValueLookupParameter<DoubleValue>)Parameters["Mu"]; }
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42 | }
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43 | public IValueLookupParameter<DoubleValue> SigmaParameter {
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44 | get { return (IValueLookupParameter<DoubleValue>)Parameters["Sigma"]; }
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45 | }
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46 | public ILookupParameter<DoubleValue> ValueParameter {
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47 | get { return (ILookupParameter<DoubleValue>)Parameters["Value"]; }
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48 | }
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49 | #endregion
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50 |
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51 | #region Properties
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52 | public DoubleValue Mu {
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53 | get { return MuParameter.ActualValue; }
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54 | set { MuParameter.ActualValue = value; }
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55 | }
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56 | public DoubleValue Max {
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57 | get { return SigmaParameter.ActualValue; }
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58 | set { SigmaParameter.ActualValue = value; }
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59 | }
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60 | #endregion
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61 |
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62 | [StorableConstructor]
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63 | protected NormalRandomizer(bool deserializing) : base(deserializing) { }
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64 | protected NormalRandomizer(NormalRandomizer original, Cloner cloner) : base(original, cloner) { }
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65 | /// <summary>
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66 | /// Initializes a new instance of <see cref="NormalRandomizer"/> with four variable infos
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67 | /// (<c>Mu</c>, <c>Sigma</c>, <c>Value</c> and <c>Random</c>).
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68 | /// </summary>
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69 | public NormalRandomizer() {
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70 | Parameters.Add(new LookupParameter<IRandom>("Random", "A random generator that supplies uniformly distributed values."));
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71 | Parameters.Add(new ValueLookupParameter<DoubleValue>("Mu", "Mu parameter of the normal distribution (N(mu,sigma))."));
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72 | Parameters.Add(new ValueLookupParameter<DoubleValue>("Sigma", "Sigma parameter of the normal distribution (N(mu,sigma))."));
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73 | Parameters.Add(new LookupParameter<DoubleValue>("Value", "The value that should be set to a random value."));
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74 | }
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75 |
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76 | public override IDeepCloneable Clone(Cloner cloner) {
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77 | return new NormalRandomizer(this, cloner);
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78 | }
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79 |
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80 | /// <summary>
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81 | /// Generates a new normally distributed random variable and assigns it to the specified variable.
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82 | /// </summary>
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83 | public override IOperation Apply(IExecutionContext context) {
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84 | IRandom random = RandomParameter.ActualValue;
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85 | double mu = MuParameter.ActualValue.Value;
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86 | double sigma = SigmaParameter.ActualValue.Value;
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87 |
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88 | NormalDistributedRandom normalRandom = new NormalDistributedRandom(random, mu, sigma);
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89 | ValueParameter.ActualValue = new DoubleValue(normalRandom.NextDouble());
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90 | return null;
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91 | }
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92 | }
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93 | }
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