[2] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
| 3 | * Copyright (C) 2002-2008 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 System.Collections.Generic;
|
---|
| 24 | using System.Text;
|
---|
| 25 | using HeuristicLab.Core;
|
---|
| 26 | using HeuristicLab.Data;
|
---|
| 27 |
|
---|
| 28 | namespace HeuristicLab.RealVector {
|
---|
[1184] | 29 | /// <summary>
|
---|
| 30 | /// Uniformly distributed change of a single position of a real vector.
|
---|
| 31 | /// </summary>
|
---|
[2] | 32 | public class UniformOnePositionManipulator : RealVectorManipulatorBase {
|
---|
[1184] | 33 | /// <inheritdoc select="summary"/>
|
---|
[2] | 34 | public override string Description {
|
---|
| 35 | get { return "Uniformly distributed change of a single position of a real vector."; }
|
---|
| 36 | }
|
---|
| 37 |
|
---|
[1184] | 38 | /// <summary>
|
---|
| 39 | /// Initializes a new instance of <see cref="UniformOnePositionManipulator"/> with two variable infos
|
---|
| 40 | /// (<c>Minimum</c> and <c>Maximum</c>).
|
---|
| 41 | /// </summary>
|
---|
[2] | 42 | public UniformOnePositionManipulator() {
|
---|
| 43 | AddVariableInfo(new VariableInfo("Minimum", "Minimum of the sampling range for the vector element (included)", typeof(DoubleData), VariableKind.In));
|
---|
| 44 | AddVariableInfo(new VariableInfo("Maximum", "Maximum of the sampling range for the vector element (excluded)", typeof(DoubleData), VariableKind.In));
|
---|
| 45 | }
|
---|
| 46 |
|
---|
[1184] | 47 | /// <summary>
|
---|
| 48 | /// Changes randomly a single position in the given real <paramref name="vector"/>.
|
---|
| 49 | /// </summary>
|
---|
| 50 | /// <param name="random">A random number generator.</param>
|
---|
| 51 | /// <param name="vector">The real vector to manipulate.</param>
|
---|
| 52 | /// <param name="min">The minimum value of the sampling range for
|
---|
| 53 | /// the vector element to change (inclusive).</param>
|
---|
| 54 | /// <param name="max">The maximum value of the sampling range for
|
---|
| 55 | /// the vector element to change (exclusive).</param>
|
---|
| 56 | /// <returns>The new real vector that has been manipulated.</returns>
|
---|
[2] | 57 | public static double[] Apply(IRandom random, double[] vector, double min, double max) {
|
---|
| 58 | double[] result = (double[])vector.Clone();
|
---|
| 59 | int index = random.Next(result.Length);
|
---|
| 60 | result[index] = min + random.NextDouble() * (max - min);
|
---|
| 61 | return result;
|
---|
| 62 | }
|
---|
| 63 |
|
---|
[1184] | 64 | /// <summary>
|
---|
| 65 | /// Changes randomly a single position in the given real <paramref name="vector"/>.
|
---|
| 66 | /// </summary>
|
---|
| 67 | /// <remarks>Calls <see cref="Apply"/>.</remarks>
|
---|
| 68 | /// <param name="scope">The current scope.</param>
|
---|
| 69 | /// <param name="random">A random number generator.</param>
|
---|
| 70 | /// <param name="vector">The real vector to manipulate.</param>
|
---|
| 71 | /// <returns>The new real vector that has been manipulated.</returns>
|
---|
[2] | 72 | protected override double[] Manipulate(IScope scope, IRandom random, double[] vector) {
|
---|
| 73 | double min = GetVariableValue<DoubleData>("Minimum", scope, true).Data;
|
---|
| 74 | double max = GetVariableValue<DoubleData>("Maximum", scope, true).Data;
|
---|
| 75 | return Apply(random, vector, min, max);
|
---|
| 76 | }
|
---|
| 77 | }
|
---|
| 78 | }
|
---|