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source: branches/ALPS/HeuristicLab.Selection/3.3/RandomReplacer.cs @ 11868

Last change on this file since 11868 was 11171, checked in by ascheibe, 10 years ago

#2115 merged r11170 (copyright update) into trunk

File size: 3.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2014 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Optimization;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Selection {
30  [Item("RandomReplacer", "Replaces some randomly selected sub-scopes of the remaining scope with all those (or the best if there are more) from the selected scope.")]
31  [StorableClass]
32  public sealed class RandomReplacer : Replacer, IStochasticOperator, ISingleObjectiveReplacer {
33    public override bool CanChangeName {
34      get { return false; }
35    }
36    public override bool CanChangeDescription {
37      get { return false; }
38    }
39
40    public ILookupParameter<ItemArray<DoubleValue>> QualityParameter {
41      get { return (ILookupParameter<ItemArray<DoubleValue>>)Parameters["Quality"]; }
42    }
43    public IValueLookupParameter<BoolValue> MaximizationParameter {
44      get { return (IValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
45    }
46    public ILookupParameter<IRandom> RandomParameter {
47      get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
48    }
49
50    [StorableConstructor]
51    private RandomReplacer(bool deserializing) : base(deserializing) { }
52    private RandomReplacer(RandomReplacer original, Cloner cloner)
53      : base(original, cloner) {
54    }
55    public override IDeepCloneable Clone(Cloner cloner) {
56      return new RandomReplacer(this, cloner);
57    }
58    public RandomReplacer()
59      : base() {
60      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The quality of a solution."));
61      Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
62      Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator to use."));
63
64      RandomSelector randomSelector = new RandomSelector();
65      randomSelector.RandomParameter.ActualName = RandomParameter.Name;
66      ReplacedSelectorParameter.Value = randomSelector;
67      ReplacedSelectorParameter.Hidden = true;
68      BestSelector bestSelector = new BestSelector();
69      bestSelector.MaximizationParameter.ActualName = MaximizationParameter.Name;
70      bestSelector.QualityParameter.ActualName = QualityParameter.Name;
71      SelectedSelectorParameter.Value = bestSelector;
72      SelectedSelectorParameter.Hidden = true;
73    }
74  }
75}
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