[9122] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[11171] | 3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[9122] | 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 HeuristicLab.Common;
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| 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Data;
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| 25 | using HeuristicLab.Encodings.RealVectorEncoding;
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| 26 | using HeuristicLab.Optimization;
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| 27 | using HeuristicLab.Parameters;
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| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 29 |
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| 30 | namespace HeuristicLab.Problems.TestFunctions {
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| 31 | /// <summary>
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| 32 | /// A function that returns a random variable in [0;1) independent of the inputs.
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| 33 | /// </summary
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| 34 | [Item("RandomEvaluator", "Returns a random value in [0;1) that is independent of the inputs.")]
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| 35 | [StorableClass]
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| 36 | public class RandomEvaluator : SingleObjectiveTestFunctionProblemEvaluator, IStochasticOperator {
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[9980] | 37 | public override string FunctionName { get { return "Random"; } }
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[9122] | 38 | /// <summary>
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| 39 | /// It does not really matter.
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| 40 | /// </summary>
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| 41 | public override bool Maximization {
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| 42 | get { return false; }
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| 43 | }
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| 44 | /// <summary>
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| 45 | /// The minimum value that can be "found" is 0.
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| 46 | /// </summary>
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| 47 | public override double BestKnownQuality {
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| 48 | get { return 0; }
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| 49 | }
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| 50 | /// <summary>
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| 51 | /// Gets the lower and upper bound of the function.
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| 52 | /// </summary>
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| 53 | public override DoubleMatrix Bounds {
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| 54 | get { return new DoubleMatrix(new double[,] { { -100, 100 } }); }
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| 55 | }
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| 56 | /// <summary>
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| 57 | /// Gets the minimum problem size (1).
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| 58 | /// </summary>
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| 59 | public override int MinimumProblemSize {
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| 60 | get { return 1; }
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| 61 | }
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| 62 | /// <summary>
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| 63 | /// Gets the (theoretical) maximum problem size (2^31 - 1).
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| 64 | /// </summary>
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| 65 | public override int MaximumProblemSize {
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| 66 | get { return int.MaxValue; }
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| 67 | }
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| 68 |
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| 69 | public ILookupParameter<IRandom> RandomParameter {
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| 70 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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| 71 | }
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| 72 |
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| 73 | [StorableConstructor]
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| 74 | protected RandomEvaluator(bool deserializing) : base(deserializing) { }
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| 75 | protected RandomEvaluator(RandomEvaluator original, Cloner cloner) : base(original, cloner) { }
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| 76 | public RandomEvaluator()
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| 77 | : base() {
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| 78 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
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| 79 | }
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| 80 |
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| 81 | public override IDeepCloneable Clone(Cloner cloner) {
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| 82 | return new RandomEvaluator(this, cloner);
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| 83 | }
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| 84 |
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| 85 | public override RealVector GetBestKnownSolution(int dimension) {
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| 86 | return new RealVector(dimension);
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| 87 | }
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| 88 |
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[9407] | 89 | public override double Evaluate(RealVector point) {
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[9345] | 90 | return ExecutionContext == null ? new System.Random().NextDouble() : RandomParameter.ActualValue.NextDouble();
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[9140] | 91 | }
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[9122] | 92 | }
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| 93 | }
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