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source: branches/CloningRefactoring/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.3/Manipulators/OnePointShaker.cs @ 4656

Last change on this file since 4656 was 4068, checked in by swagner, 14 years ago

Sorted usings and removed unused usings in entire solution (#1094)

File size: 2.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Manipulators {
28  [StorableClass]
29  [Item("OnePointShaker", "Selects a random node with local parameters and manipulates the selected node.")]
30  public class OnePointShaker : SymbolicExpressionTreeManipulator {
31
32    public OnePointShaker()
33      : base() {
34    }
35
36    protected override void Manipulate(IRandom random, SymbolicExpressionTree symbolicExpressionTree, ISymbolicExpressionGrammar grammar, IntValue maxTreeSize, IntValue maxTreeHeight, out bool success) {
37      var parametricNodes = from node in symbolicExpressionTree.IterateNodesPrefix()
38                            where node.HasLocalParameters
39                            select node;
40      if (parametricNodes.Count() > 0) {
41        SymbolicExpressionTreeNode selectedPoint = parametricNodes.SelectRandom(random);
42
43        selectedPoint.ShakeLocalParameters(random, 1.0);
44        success = true;
45      } else {
46        success = false;
47      }
48    }
49  }
50}
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