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source: trunk/sources/HeuristicLab.Random/3.3/UniformRandomizer.cs @ 3289

Last change on this file since 3289 was 3269, checked in by gkronber, 15 years ago

Implemented initialization of Variable and Constant terminal nodes. #938 (Data types and operators for regression problems)

File size: 3.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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 System.Collections.Generic;
24using System.Text;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28using HeuristicLab.Operators;
29using HeuristicLab.Parameters;
30
31namespace HeuristicLab.Random {
32  /// <summary>
33  /// Uniformly distributed random number generator.
34  /// </summary>
35  [StorableClass]
36  [Item("UniformRandomizer", "Initializes the value of variable 'Value' to a random value uniformly distributed between 'Min' and 'Max'")]
37  public class UniformRandomizer : SingleSuccessorOperator {
38    #region parameter properties
39    public ILookupParameter<IRandom> RandomParameter {
40      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
41    }
42    public IValueLookupParameter<DoubleValue> MinParameter {
43      get { return (IValueLookupParameter<DoubleValue>)Parameters["Min"]; }
44    }
45    public IValueLookupParameter<DoubleValue> MaxParameter {
46      get { return (IValueLookupParameter<DoubleValue>)Parameters["Max"]; }
47    }
48    public ILookupParameter<DoubleValue> ValueParameter {
49      get { return (ILookupParameter<DoubleValue>)Parameters["Value"]; }
50    }
51    #endregion
52    #region Properties
53    public DoubleValue Min {
54      get { return MinParameter.ActualValue; }
55      set { MinParameter.ActualValue = value; }
56    }
57    public DoubleValue Max {
58      get { return MaxParameter.ActualValue; }
59      set { MaxParameter.ActualValue = value; }
60    }
61    #endregion
62
63    /// <summary>
64    /// Initializes a new instance of <see cref="UniformRandomizer"/> with four variable infos
65    /// (<c>Value</c>, <c>Random</c>, <c>Max</c> and <c>Min</c>), being a random number generator
66    /// between 0.0 and 1.0.
67    /// </summary>
68    public UniformRandomizer()
69      : base() {
70      Parameters.Add(new LookupParameter<IRandom>("Random", "A random generator that supplies uniformly distributed values."));
71      Parameters.Add(new ValueLookupParameter<DoubleValue>("Min", "The minimal allowed value (inclusive)"));
72      Parameters.Add(new ValueLookupParameter<DoubleValue>("Max", "The maximal allowed value (exclusive)"));
73      Parameters.Add(new LookupParameter<DoubleValue>("Value", "The value that should be set to a random value."));
74    }
75
76    /// <summary>
77    /// Generates a new uniformly distributed random variable.
78    /// </summary>
79    public override IOperation Apply() {
80      IRandom random = RandomParameter.ActualValue;
81      double min = MinParameter.ActualValue.Value;
82      double max = MaxParameter.ActualValue.Value;
83
84      ValueParameter.ActualValue = new DoubleValue(random.NextDouble() * (max - min) + min);
85      return null;
86    }
87  }
88}
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