source: branches/ScopedAlgorithms/HeuristicLab.Algorithms.GeneticAlgorithm/3.3/BinaryCanonicalGeneticAlgorithm.cs @ 14429

Last change on this file since 14429 was 14429, checked in by abeham, 4 years ago

#2701, #2708: Made a new branch from ProblemRefactoring and removed ScopedBasicAlgorithm branch (which becomes MemPR branch)

File size: 2.8 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.Encodings.BinaryVectorEncoding;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Selection;
27using TProblem = HeuristicLab.Optimization.SingleObjectiveProblem<HeuristicLab.Encodings.BinaryVectorEncoding.BinaryVectorEncoding, HeuristicLab.Encodings.BinaryVectorEncoding.BinaryVector>;
28using TContext = HeuristicLab.Algorithms.GeneticAlgorithm.EvolutionaryAlgorithmContext<HeuristicLab.Optimization.SingleObjectiveProblem<HeuristicLab.Encodings.BinaryVectorEncoding.BinaryVectorEncoding, HeuristicLab.Encodings.BinaryVectorEncoding.BinaryVector>, HeuristicLab.Encodings.BinaryVectorEncoding.BinaryVectorEncoding, HeuristicLab.Encodings.BinaryVectorEncoding.BinaryVector>;
29
30namespace HeuristicLab.Algorithms.GeneticAlgorithm {
31  [Item("Canonical Genetic Algorithm (binary) (CGA)", "Performs a canonical genetic algorithm.")]
32  [Creatable(CreatableAttribute.Categories.PopulationBasedAlgorithms, Priority = 999)]
33  [StorableClass]
34  public sealed class BinaryCanonicalGeneticAlgorithm : CanonicalGeneticAlgorithm<TProblem, BinaryVectorEncoding, BinaryVector> {
35
36    [StorableConstructor]
37    private BinaryCanonicalGeneticAlgorithm(bool deserializing) : base(deserializing) { }
38    private BinaryCanonicalGeneticAlgorithm(BinaryCanonicalGeneticAlgorithm original, Cloner cloner)
39      : base(original, cloner) { }
40    public BinaryCanonicalGeneticAlgorithm() {
41      SelectorParameter.ValidValues.Add(new TournamentSelector<TContext, TProblem, BinaryVectorEncoding, BinaryVector>());
42      MutatorParameter.ValidValues.Add(new SingleBitflipManipulator<TContext>());
43      MutatorParameter.ValidValues.Add(new MultiBitflipManipulator<TContext>());
44      CrossoverParameter.ValidValues.Add(new NPointCrossover<TContext>());
45    }
46
47    public override IDeepCloneable Clone(Cloner cloner) {
48      return new BinaryCanonicalGeneticAlgorithm(this, cloner);
49    }
50  }
51}
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