1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2015 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 |
|
---|
22 | using System;
|
---|
23 | using HeuristicLab.Common;
|
---|
24 | using HeuristicLab.Core;
|
---|
25 | using HeuristicLab.Data;
|
---|
26 | using HeuristicLab.Parameters;
|
---|
27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
28 |
|
---|
29 | namespace HeuristicLab.Encodings.IntegerVectorEncoding {
|
---|
30 | /// <summary>
|
---|
31 | /// Uniformly distributed change of a single position of an integer vector.
|
---|
32 | /// </summary>
|
---|
33 | /// <remarks>
|
---|
34 | /// It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.
|
---|
35 | /// </remarks>
|
---|
36 | [Item("UniformOnePositionManipulator", " Uniformly distributed change of a single position of an integer vector. It is implemented as described in Michalewicz, Z. 1999. Genetic Algorithms + Data Structures = Evolution Programs. Third, Revised and Extended Edition, Spring-Verlag Berlin Heidelberg.")]
|
---|
37 | [StorableClass("08E4FFB0-3DE7-4B6A-BAF4-FBC321A778E4")]
|
---|
38 | public class UniformOnePositionManipulator : BoundedIntegerVectorManipulator {
|
---|
39 |
|
---|
40 | [StorableConstructor]
|
---|
41 | protected UniformOnePositionManipulator(bool deserializing) : base(deserializing) { }
|
---|
42 | protected UniformOnePositionManipulator(UniformOnePositionManipulator original, Cloner cloner) : base(original, cloner) { }
|
---|
43 | /// <summary>
|
---|
44 | /// Initializes a new instance of <see cref="UniformOnePositionManipulator"/> with two parameters
|
---|
45 | /// (<c>Minimum</c> and <c>Maximum</c>).
|
---|
46 | /// </summary>
|
---|
47 | public UniformOnePositionManipulator() : base() { }
|
---|
48 |
|
---|
49 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
50 | return new UniformOnePositionManipulator(this, cloner);
|
---|
51 | }
|
---|
52 |
|
---|
53 | // BackwardsCompatibility3.3
|
---|
54 | #region Backwards compatible code, remove with 3.4
|
---|
55 | [StorableHook(HookType.AfterDeserialization)]
|
---|
56 | private void AfterDeserialization() {
|
---|
57 | if (!Parameters.ContainsKey("Bounds")) {
|
---|
58 | var min = ((IValueLookupParameter<IntValue>)Parameters["Minimum"]).Value as IntValue;
|
---|
59 | var max = ((IValueLookupParameter<IntValue>)Parameters["Maximum"]).Value as IntValue;
|
---|
60 | Parameters.Remove("Minimum");
|
---|
61 | Parameters.Remove("Maximum");
|
---|
62 | Parameters.Add(new ValueLookupParameter<IntMatrix>("Bounds", "The bounds matrix can contain one row for each dimension with three columns specifying minimum (inclusive), maximum (exclusive), and step size. If less rows are given the matrix is cycled."));
|
---|
63 | if (min != null && max != null) {
|
---|
64 | BoundsParameter.Value = new IntMatrix(new int[,] { { min.Value, max.Value, 1 } });
|
---|
65 | }
|
---|
66 | }
|
---|
67 | }
|
---|
68 | #endregion
|
---|
69 |
|
---|
70 | /// <summary>
|
---|
71 | /// Changes randomly a single position in the given integer <paramref name="vector"/>.
|
---|
72 | /// </summary>
|
---|
73 | /// <param name="random">A random number generator.</param>
|
---|
74 | /// <param name="vector">The integer vector to manipulate.</param>
|
---|
75 | /// <param name="min">The minimum value of the sampling range for
|
---|
76 | /// the vector element to change (inclusive).</param>
|
---|
77 | /// <param name="max">The maximum value of the sampling range for
|
---|
78 | /// the vector element to change (exclusive).</param>
|
---|
79 | /// <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>
|
---|
80 | public static void Apply(IRandom random, IntegerVector vector, IntMatrix bounds) {
|
---|
81 | Manipulate(random, vector, bounds, random.Next(vector.Length));
|
---|
82 | }
|
---|
83 |
|
---|
84 | public static void Manipulate(IRandom random, IntegerVector vector, IntMatrix bounds, int index) {
|
---|
85 | if (bounds == null || bounds.Rows == 0 || bounds.Columns < 2) throw new ArgumentException("UniformOnePositionManipulator: Invalid bounds specified", "bounds");
|
---|
86 | int min = bounds[index % bounds.Rows, 0], max = bounds[index % bounds.Rows, 1], step = 1;
|
---|
87 | if (min == max) {
|
---|
88 | vector[index] = min;
|
---|
89 | } else {
|
---|
90 | if (bounds.Columns > 2) step = bounds[index % bounds.Rows, 2];
|
---|
91 | // max has to be rounded to the lower feasible value
|
---|
92 | // e.g. min...max / step = 0...100 / 5, max is exclusive so it would be 0..99
|
---|
93 | // but 99 is not a feasible value, so max needs to be adjusted => min = 0, max = 95
|
---|
94 | max = FloorFeasible(min, max, step, max - 1);
|
---|
95 | vector[index] = RoundFeasible(min, max, step, random.Next(min, max));
|
---|
96 | }
|
---|
97 | }
|
---|
98 |
|
---|
99 | /// <summary>
|
---|
100 | /// Changes randomly a single position in the given integer <paramref name="vector"/>.
|
---|
101 | /// </summary>
|
---|
102 | /// <remarks>Calls <see cref="Apply"/>.</remarks>
|
---|
103 | /// <param name="random">A random number generator.</param>
|
---|
104 | /// <param name="vector">The integer vector to manipulate.</param>
|
---|
105 | /// <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>
|
---|
106 | protected override void ManipulateBounded(IRandom random, IntegerVector vector, IntMatrix bounds) {
|
---|
107 | if (BoundsParameter.ActualValue == null) throw new InvalidOperationException("UniformOnePositionManipulator: Parameter " + BoundsParameter.ActualName + " could not be found.");
|
---|
108 | Apply(random, vector, bounds);
|
---|
109 | }
|
---|
110 | }
|
---|
111 | }
|
---|