source: branches/2520_PersistenceReintegration/HeuristicLab.Problems.NK/3.3/WeightInitializers/ExponentialDistributionWeightsInitializer.cs @ 16462

Last change on this file since 16462 was 16462, checked in by jkarder, 2 years ago

#2520: worked on reintegration of new persistence

  • added nuget references to HEAL.Fossil
  • added StorableType attributes to many classes
  • changed signature of StorableConstructors
  • removed some classes in old persistence
  • removed some unnecessary usings
File size: 2.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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
22using System;
23using System.Collections.Generic;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Parameters;
28using HEAL.Fossil;
29
30namespace HeuristicLab.Problems.NK {
31  [Item("ExponentialDistributionWeightsInitializer", "Assigns exponentially decreasing weights using the rate parameter lambda.")]
32  [StorableType("F67982B7-A94B-4876-977A-34DB44B40739")]
33  public sealed class ExponentialDistributionWeightsInitializer : ParameterizedNamedItem, IWeightsInitializer {
34    public IValueParameter<DoubleValue> LambdaParameter {
35      get { return (IValueParameter<DoubleValue>)Parameters["Lambda"]; }
36    }
37
38    [StorableConstructor]
39    private ExponentialDistributionWeightsInitializer(StorableConstructorFlag _) : base(_) { }
40    private ExponentialDistributionWeightsInitializer(ExponentialDistributionWeightsInitializer original, Cloner cloner)
41      : base(original, cloner) {
42    }
43    public ExponentialDistributionWeightsInitializer() {
44      Parameters.Add(new ValueParameter<DoubleValue>("Lambda", "The rate parameter of the exponential distribution.", new DoubleValue(1.0)));
45    }
46    public override IDeepCloneable Clone(Cloner cloner) {
47      return new ExponentialDistributionWeightsInitializer(this, cloner);
48    }
49
50    private static double f(double x, double lambda) {
51      if (x < 0.0)
52        return 0.0;
53      return lambda * Math.Exp(-lambda * x);
54    }
55
56    public IEnumerable<double> GetWeights(int nComponents) {
57      double lambda = LambdaParameter.Value.Value;
58      for (int i = 0; i < nComponents; i++)
59        yield return f(i, lambda);
60    }
61  }
62}
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