[2900] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12012] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[2900] | 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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| 22 | using System;
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[4722] | 23 | using HeuristicLab.Common;
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[2900] | 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Optimization;
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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 28 |
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[3053] | 29 | namespace HeuristicLab.Encodings.RealVectorEncoding {
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[2900] | 30 | /// <summary>
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| 31 | /// An operator which creates a new random real vector with each element uniformly distributed in a specified range.
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| 32 | /// </summary>
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| 33 | [Item("UniformRandomRealVectorCreator", "An operator which creates a new random real vector with each element uniformly distributed in a specified range.")]
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[3017] | 34 | [StorableClass]
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[3336] | 35 | public class UniformRandomRealVectorCreator : RealVectorCreator, IStrategyParameterCreator {
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[4722] | 36 | [StorableConstructor]
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| 37 | protected UniformRandomRealVectorCreator(bool deserializing) : base(deserializing) { }
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| 38 | protected UniformRandomRealVectorCreator(UniformRandomRealVectorCreator original, Cloner cloner) : base(original, cloner) { }
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| 39 | public UniformRandomRealVectorCreator() : base() { }
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| 40 |
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| 41 | public override IDeepCloneable Clone(Cloner cloner) {
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| 42 | return new UniformRandomRealVectorCreator(this, cloner);
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| 43 | }
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| 44 |
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[2900] | 45 | /// <summary>
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| 46 | /// Generates a new random real vector with the given <paramref name="length"/> and in the interval [min,max).
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| 47 | /// </summary>
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| 48 | /// <exception cref="ArgumentException">
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| 49 | /// Thrown when <paramref name="length"/> is smaller or equal to 0.<br />
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| 50 | /// Thrown when <paramref name="min"/> is greater than <paramref name="max"/>.
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| 51 | /// </exception>
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| 52 | /// <remarks>
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| 53 | /// Note that if <paramref name="min"/> is equal to <paramref name="max"/>, all elements of the vector will be equal to <paramref name="min"/>.
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| 54 | /// </remarks>
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| 55 | /// <param name="random">The random number generator.</param>
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| 56 | /// <param name="length">The length of the real vector.</param>
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[3123] | 57 | /// <param name="bounds">The lower and upper bound (1st and 2nd column) of the positions in the vector. If there are less rows than dimensions, the rows are cycled.</param>
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[2900] | 58 | /// <returns>The newly created real vector.</returns>
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[3123] | 59 | public static RealVector Apply(IRandom random, int length, DoubleMatrix bounds) {
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[3060] | 60 | RealVector result = new RealVector(length);
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[3123] | 61 | result.Randomize(random, bounds);
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[2900] | 62 | return result;
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| 63 | }
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| 64 |
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| 65 | /// <summary>
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[3123] | 66 | /// Forwards the call to <see cref="Apply(IRandom, int, DoubleMatrix)"/>.
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[2900] | 67 | /// </summary>
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| 68 | /// <param name="random">The pseudo random number generator to use.</param>
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| 69 | /// <param name="length">The length of the real vector.</param>
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[3123] | 70 | /// <param name="bounds">The lower and upper bound (1st and 2nd column) of the positions in the vector. If there are less rows than dimensions, the rows are cycled.</param>
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[2900] | 71 | /// <returns>The newly created real vector.</returns>
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[3123] | 72 | protected override RealVector Create(IRandom random, IntValue length, DoubleMatrix bounds) {
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| 73 | return Apply(random, length.Value, bounds);
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[2900] | 74 | }
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| 75 | }
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| 76 | }
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