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source: branches/PersistenceSpeedUp/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.3/Manipulators/OnePointShaker.cs @ 10154

Last change on this file since 10154 was 5445, checked in by swagner, 14 years ago

Updated year of copyrights (#1406)

File size: 2.3 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Linq;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Manipulators {
29  [StorableClass]
30  [Item("OnePointShaker", "Selects a random node with local parameters and manipulates the selected node.")]
31  public sealed class OnePointShaker : SymbolicExpressionTreeManipulator {
32    [StorableConstructor]
33    private OnePointShaker(bool deserializing) : base(deserializing) { }
34    private OnePointShaker(OnePointShaker original, Cloner cloner) : base(original, cloner) { }
35    public OnePointShaker() : base() { }
36
37    public override IDeepCloneable Clone(Cloner cloner) {
38      return new OnePointShaker(this, cloner);
39    }
40
41    protected override void Manipulate(IRandom random, SymbolicExpressionTree symbolicExpressionTree, ISymbolicExpressionGrammar grammar, IntValue maxTreeSize, IntValue maxTreeHeight, out bool success) {
42      var parametricNodes = from node in symbolicExpressionTree.IterateNodesPrefix()
43                            where node.HasLocalParameters
44                            select node;
45      if (parametricNodes.Count() > 0) {
46        SymbolicExpressionTreeNode selectedPoint = parametricNodes.SelectRandom(random);
47
48        selectedPoint.ShakeLocalParameters(random, 1.0);
49        success = true;
50      } else {
51        success = false;
52      }
53    }
54  }
55}
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