[2] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[9539] | 3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[2] | 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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[4722] | 22 | using HeuristicLab.Common;
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[2] | 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Data;
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[3269] | 25 | using HeuristicLab.Operators;
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| 26 | using HeuristicLab.Parameters;
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[4068] | 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[2] | 28 |
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| 29 | namespace HeuristicLab.Random {
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[1153] | 30 | /// <summary>
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| 31 | /// Uniformly distributed random number generator.
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| 32 | /// </summary>
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[3269] | 33 | [StorableClass]
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| 34 | [Item("UniformRandomizer", "Initializes the value of variable 'Value' to a random value uniformly distributed between 'Min' and 'Max'")]
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| 35 | public class UniformRandomizer : SingleSuccessorOperator {
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[4722] | 36 | #region Parameter Properties
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[3269] | 37 | public ILookupParameter<IRandom> RandomParameter {
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| 38 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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[2] | 39 | }
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[3269] | 40 | public IValueLookupParameter<DoubleValue> MinParameter {
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| 41 | get { return (IValueLookupParameter<DoubleValue>)Parameters["Min"]; }
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[426] | 42 | }
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[3269] | 43 | public IValueLookupParameter<DoubleValue> MaxParameter {
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| 44 | get { return (IValueLookupParameter<DoubleValue>)Parameters["Max"]; }
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[426] | 45 | }
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[3269] | 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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[4722] | 50 |
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[3269] | 51 | #region Properties
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| 52 | public DoubleValue Min {
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| 53 | get { return MinParameter.ActualValue; }
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| 54 | set { MinParameter.ActualValue = value; }
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| 55 | }
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| 56 | public DoubleValue Max {
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| 57 | get { return MaxParameter.ActualValue; }
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| 58 | set { MaxParameter.ActualValue = value; }
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| 59 | }
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| 60 | #endregion
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[426] | 61 |
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[4722] | 62 | [StorableConstructor]
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| 63 | protected UniformRandomizer(bool deserializing) : base(deserializing) { }
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| 64 | protected UniformRandomizer(UniformRandomizer original, Cloner cloner) : base(original, cloner) { }
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[1153] | 65 | /// <summary>
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| 66 | /// Initializes a new instance of <see cref="UniformRandomizer"/> with four variable infos
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| 67 | /// (<c>Value</c>, <c>Random</c>, <c>Max</c> and <c>Min</c>), being a random number generator
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| 68 | /// between 0.0 and 1.0.
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| 69 | /// </summary>
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[3269] | 70 | public UniformRandomizer()
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| 71 | : base() {
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| 72 | Parameters.Add(new LookupParameter<IRandom>("Random", "A random generator that supplies uniformly distributed values."));
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| 73 | Parameters.Add(new ValueLookupParameter<DoubleValue>("Min", "The minimal allowed value (inclusive)"));
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| 74 | Parameters.Add(new ValueLookupParameter<DoubleValue>("Max", "The maximal allowed value (exclusive)"));
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| 75 | Parameters.Add(new LookupParameter<DoubleValue>("Value", "The value that should be set to a random value."));
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[2] | 76 | }
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| 77 |
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[4722] | 78 | public override IDeepCloneable Clone(Cloner cloner) {
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| 79 | return new UniformRandomizer(this, cloner);
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| 80 | }
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| 81 |
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[1153] | 82 | /// <summary>
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| 83 | /// Generates a new uniformly distributed random variable.
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| 84 | /// </summary>
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[3269] | 85 | public override IOperation Apply() {
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| 86 | IRandom random = RandomParameter.ActualValue;
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| 87 | double min = MinParameter.ActualValue.Value;
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| 88 | double max = MaxParameter.ActualValue.Value;
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[2] | 89 |
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[3269] | 90 | ValueParameter.ActualValue = new DoubleValue(random.NextDouble() * (max - min) + min);
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[7644] | 91 | return base.Apply();
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[2] | 92 | }
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[3269] | 93 | }
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[2] | 94 | }
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