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source: trunk/sources/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.3/Manipulators/GPManipulatorBase.cs @ 3593

Last change on this file since 3593 was 3219, checked in by gkronber, 15 years ago

Worked on SymbolicTreeEncoding plugin. #937 (Data types and operators for symbolic expression tree encoding)

File size: 2.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 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.Core;
23using HeuristicLab.Random;
24using HeuristicLab.Data;
25
26namespace HeuristicLab.Encodings.SymbolicExpressionTree {
27  public abstract class GPManipulatorBase : OperatorBase {
28    public GPManipulatorBase()
29      : base() {
30      AddVariableInfo(new VariableInfo("Random", "Uniform random number generator", typeof(MersenneTwister), VariableKind.In));
31      AddVariableInfo(new VariableInfo("FunctionLibrary", "The operator library containing all available operators", typeof(FunctionLibrary), VariableKind.In));
32      AddVariableInfo(new VariableInfo("MaxTreeHeight", "The maximal allowed height of the tree", typeof(IntData), VariableKind.In));
33      AddVariableInfo(new VariableInfo("MaxTreeSize", "The maximal allowed size (number of nodes) of the tree", typeof(IntData), VariableKind.In));
34      AddVariableInfo(new VariableInfo("FunctionTree", "The tree to crossover", typeof(IGeneticProgrammingModel), VariableKind.In | VariableKind.New));
35    }
36
37    internal abstract IOperation Manipulate(MersenneTwister random, IGeneticProgrammingModel gpModel, FunctionLibrary library, int maxSize, int maxHeight, IScope scope);
38
39    public override IOperation Apply(IScope scope) {
40      FunctionLibrary funLibrary = GetVariableValue<FunctionLibrary>("FunctionLibrary", scope, true);
41      IGeneticProgrammingModel gpModel = GetVariableValue<IGeneticProgrammingModel>("FunctionTree", scope, false);
42      MersenneTwister random = GetVariableValue<MersenneTwister>("Random", scope, true);
43      int maxTreeSize = GetVariableValue<IntData>("MaxTreeSize", scope, true).Data;
44      int maxTreeHeight = GetVariableValue<IntData>("MaxTreeHeight", scope, true).Data;
45
46      return Manipulate(random, gpModel, funLibrary, maxTreeSize, maxTreeHeight, scope);
47    }
48  }
49}
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