1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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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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23 | using System.Collections.Generic;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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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.NK {
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31 | [Item("ExponentialDistributionWeightsInitializer", "Assigns exponentially decreasing weights using the rate parameter lambda.")]
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32 | [StorableClass]
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33 | public sealed class ExponentialDistributionWeightsInitializer : ParameterizedNamedItem, IWeightsInitializer {
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34 | public IValueParameter<DoubleValue> LambdaParameter {
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35 | get { return (IValueParameter<DoubleValue>)Parameters["Lambda"]; }
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36 | }
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37 |
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38 | [StorableConstructor]
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39 | private ExponentialDistributionWeightsInitializer(bool deserializing) : base(deserializing) { }
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40 | private ExponentialDistributionWeightsInitializer(ExponentialDistributionWeightsInitializer original, Cloner cloner)
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41 | : base(original, cloner) {
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42 | }
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43 | public ExponentialDistributionWeightsInitializer() {
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44 | Parameters.Add(new ValueParameter<DoubleValue>("Lambda", "The rate parameter of the exponential distribution.", new DoubleValue(1.0)));
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45 | }
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46 | public override IDeepCloneable Clone(Cloner cloner) {
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47 | return new ExponentialDistributionWeightsInitializer(this, cloner);
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48 | }
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49 |
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50 | private static double f(double x, double lambda) {
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51 | if (x < 0.0)
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52 | return 0.0;
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53 | return lambda * Math.Exp(-lambda * x);
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54 | }
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55 |
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56 | public IEnumerable<double> GetWeights(int nComponents) {
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57 | double lambda = LambdaParameter.Value.Value;
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58 | for (int i = 0; i < nComponents; i++)
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59 | yield return f(i, lambda);
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60 | }
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61 | }
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62 | }
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