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source: stable/HeuristicLab.Encodings.IntegerVectorEncoding/3.3/Crossovers/RoundedBlendAlphaBetaCrossover.cs @ 11170

Last change on this file since 11170 was 11170, checked in by ascheibe, 10 years ago

#2115 updated copyright year in stable branch

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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2014 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.Data;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Encodings.IntegerVectorEncoding {
30  /// <summary>
31  /// Blend alpha-beta crossover for integer vectors (BLX-a-b). Creates a new offspring by selecting a
32  /// random value from the interval between the two alleles of the parent solutions and rounds the
33  /// result to the nearest feasible value. The interval is increased in both directions as follows:
34  /// Into the direction of the 'better' solution by the factor alpha, into the direction of the
35  /// 'worse' solution by the factor beta.
36  /// </summary>
37  [Item("RoundedBlendAlphaBetaCrossover", "The rounded blend alpha beta crossover (BLX-a-b) for integer vectors is similar to the blend alpha crossover (BLX-a), but distinguishes between the better and worse of the parents. The interval from which to choose the new offspring can be extended beyond the better parent by specifying a higher alpha value, and beyond the worse parent by specifying a higher beta value. The new offspring is sampled uniformly in the extended range and rounded to the next feasible integer.")]
38  [StorableClass]
39  public class RoundedBlendAlphaBetaCrossover : BoundedIntegerVectorCrossover {
40    /// <summary>
41    /// Whether the problem is a maximization or minimization problem.
42    /// </summary>
43    public ValueLookupParameter<BoolValue> MaximizationParameter {
44      get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
45    }
46    /// <summary>
47    /// The quality of the parents.
48    /// </summary>
49    public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
50      get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
51    }
52    /// <summary>
53    /// The Alpha parameter controls the extension of the range beyond the better parent. The value must be >= 0 and does not depend on Beta.
54    /// </summary>
55    public ValueLookupParameter<DoubleValue> AlphaParameter {
56      get { return (ValueLookupParameter<DoubleValue>)Parameters["Alpha"]; }
57    }
58    /// <summary>
59    /// The Beta parameter controls the extension of the range beyond the worse parent. The value must be >= 0 and does not depend on Alpha.
60    /// </summary>
61    public ValueLookupParameter<DoubleValue> BetaParameter {
62      get { return (ValueLookupParameter<DoubleValue>)Parameters["Beta"]; }
63    }
64
65    [StorableConstructor]
66    protected RoundedBlendAlphaBetaCrossover(bool deserializing) : base(deserializing) { }
67    protected RoundedBlendAlphaBetaCrossover(RoundedBlendAlphaBetaCrossover original, Cloner cloner) : base(original, cloner) { }
68    /// <summary>
69    /// Initializes a new instance of <see cref="RoundedBlendAlphaBetaCrossover"/> with four additional parameters
70    /// (<c>Maximization</c>, <c>Quality</c>, <c>Alpha</c> and <c>Beta</c>).
71    /// </summary>
72    public RoundedBlendAlphaBetaCrossover()
73      : base() {
74      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "Whether the problem is a maximization problem or not."));
75      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The quality values of the parents."));
76      Parameters.Add(new ValueLookupParameter<DoubleValue>("Alpha", "The Alpha parameter controls the extension of the range beyond the better parent. The value must be >= 0 and does not depend on Beta.", new DoubleValue(0.75)));
77      Parameters.Add(new ValueLookupParameter<DoubleValue>("Beta", "The Beta parameter controls the extension of the range beyond the worse parent. The value must be >= 0 and does not depend on Alpha.", new DoubleValue(0.25)));
78    }
79
80    public override IDeepCloneable Clone(Cloner cloner) {
81      return new RoundedBlendAlphaBetaCrossover(this, cloner);
82    }
83
84    /// <summary>
85    /// Performs the rounded blend alpha beta crossover (BLX-a-b) on two parent vectors.
86    /// </summary>
87    /// <exception cref="ArgumentException">
88    /// Thrown when either:<br/>
89    /// <list type="bullet">
90    /// <item><description>The length of <paramref name="betterParent"/> and <paramref name="worseParent"/> is not equal.</description></item>
91    /// <item><description>The parameter <paramref name="alpha"/> is smaller than 0.</description></item>
92    /// <item><description>The parameter <paramref name="beta"/> is smaller than 0.</description></item>
93    /// </list>
94    /// </exception>
95    /// <param name="random">The random number generator to use.</param>
96    /// <param name="betterParent">The better of the two parents with regard to their fitness.</param>
97    /// <param name="worseParent">The worse of the two parents with regard to their fitness.</param>
98    /// <param name="bounds">The bounds and step size for each dimension (will be cycled in case there are less rows than elements in the parent vectors).</param>
99    /// <param name="alpha">The parameter alpha.</param>
100    /// <param name="beta">The parameter beta.</param>
101    /// <returns>The integer vector that results from the crossover.</returns>
102    public static IntegerVector Apply(IRandom random, IntegerVector betterParent, IntegerVector worseParent, IntMatrix bounds, DoubleValue alpha, DoubleValue beta) {
103      if (betterParent.Length != worseParent.Length) throw new ArgumentException("RoundedBlendAlphaBetaCrossover: The parents' vectors are of different length.", "betterParent");
104      if (alpha.Value < 0) throw new ArgumentException("RoundedBlendAlphaBetaCrossover: Parameter alpha must be greater or equal to 0.", "alpha");
105      if (beta.Value < 0) throw new ArgumentException("RoundedBlendAlphaBetaCrossover: Parameter beta must be greater or equal to 0.", "beta");
106      if (bounds == null || bounds.Rows < 1 || bounds.Columns < 2) throw new ArgumentException("RoundedBlendAlphaBetaCrossover: Invalid bounds specified.", "bounds");
107
108      int length = betterParent.Length;
109      double min, max, d;
110      var result = new IntegerVector(length);
111      int minBound, maxBound, step = 1;
112      for (int i = 0; i < length; i++) {
113        minBound = bounds[i % bounds.Rows, 0];
114        maxBound = bounds[i % bounds.Rows, 1];
115        if (bounds.Columns > 2) step = bounds[i % bounds.Rows, 2];
116        maxBound = FloorFeasible(minBound, maxBound, step, maxBound - 1);
117
118        d = Math.Abs(betterParent[i] - worseParent[i]);
119        if (betterParent[i] <= worseParent[i]) {
120          min = FloorFeasible(minBound, maxBound, step, betterParent[i] - d * alpha.Value);
121          max = CeilingFeasible(minBound, maxBound, step, worseParent[i] + d * beta.Value);
122        } else {
123          min = FloorFeasible(minBound, maxBound, step, worseParent[i] - d * beta.Value);
124          max = CeilingFeasible(minBound, maxBound, step, betterParent[i] + d * alpha.Value);
125        }
126        result[i] = RoundFeasible(minBound, maxBound, step, min + random.NextDouble() * (max - min));
127      }
128      return result;
129    }
130
131    /// <summary>
132    /// Checks if the number of parents is equal to 2, if all parameters are available and forwards the call to <see cref="Apply(IRandom, IntegerVector, IntegerVector, IntMatrix, DoubleValue, DoubleValue)"/>.
133    /// </summary>
134    /// <exception cref="ArgumentException">Thrown when the number of parents is not equal to 2.</exception>
135    /// <exception cref="InvalidOperationException">
136    /// Thrown when either:<br/>
137    /// <list type="bullet">
138    /// <item><description>Maximization parameter could not be found.</description></item>
139    /// <item><description>Quality parameter could not be found or the number of quality values is not equal to the number of parents.</description></item>
140    /// <item><description>Alpha parameter could not be found.</description></item>
141    /// <item><description>Beta parameter could not be found.</description></item>
142    /// </list>
143    /// </exception>
144    /// <param name="random">The random number generator to use.</param>
145    /// <param name="parents">The collection of parents (must be of size 2).</param>
146    /// <param name="bounds">The bounds and step size for each dimension (will be cycled in case there are less rows than elements in the parent vectors).</param>
147    /// <returns>The integer vector that results from the crossover.</returns>
148    protected override IntegerVector CrossBounded(IRandom random, ItemArray<IntegerVector> parents, IntMatrix bounds) {
149      if (parents.Length != 2) throw new ArgumentException("RoundedBlendAlphaBetaCrossover: Number of parents is not equal to 2.", "parents");
150      if (MaximizationParameter.ActualValue == null) throw new InvalidOperationException("RoundedBlendAlphaBetaCrossover: Parameter " + MaximizationParameter.ActualName + " could not be found.");
151      if (QualityParameter.ActualValue == null || QualityParameter.ActualValue.Length != parents.Length) throw new InvalidOperationException("RoundedBlendAlphaBetaCrossover: Parameter " + QualityParameter.ActualName + " could not be found, or not in the same quantity as there are parents.");
152      if (AlphaParameter.ActualValue == null || BetaParameter.ActualValue == null) throw new InvalidOperationException("RoundedBlendAlphaBetaCrossover: Parameter " + AlphaParameter.ActualName + " or paramter " + BetaParameter.ActualName + " could not be found.");
153
154      ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
155      bool maximization = MaximizationParameter.ActualValue.Value;
156      if (maximization && qualities[0].Value >= qualities[1].Value || !maximization && qualities[0].Value <= qualities[1].Value)
157        return Apply(random, parents[0], parents[1], bounds, AlphaParameter.ActualValue, BetaParameter.ActualValue);
158      else {
159        return Apply(random, parents[1], parents[0], bounds, AlphaParameter.ActualValue, BetaParameter.ActualValue);
160      }
161    }
162  }
163}
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