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source: branches/3.2/sources/HeuristicLab.GP.Operators/3.3/Manipulation/GPManipulatorBase.cs @ 7625

Last change on this file since 7625 was 2222, checked in by gkronber, 15 years ago

Merged changes from GP-refactoring branch back into the trunk #713.

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;
25using HeuristicLab.GP.Interfaces;
26
27namespace HeuristicLab.GP.Operators {
28  public abstract class GPManipulatorBase : OperatorBase {
29    public GPManipulatorBase()
30      : base() {
31      AddVariableInfo(new VariableInfo("Random", "Uniform random number generator", typeof(MersenneTwister), VariableKind.In));
32      AddVariableInfo(new VariableInfo("FunctionLibrary", "The operator library containing all available operators", typeof(FunctionLibrary), VariableKind.In));
33      AddVariableInfo(new VariableInfo("MaxTreeHeight", "The maximal allowed height of the tree", typeof(IntData), VariableKind.In));
34      AddVariableInfo(new VariableInfo("MaxTreeSize", "The maximal allowed size (number of nodes) of the tree", typeof(IntData), VariableKind.In));
35      AddVariableInfo(new VariableInfo("FunctionTree", "The tree to crossover", typeof(IGeneticProgrammingModel), VariableKind.In | VariableKind.New));
36    }
37
38    internal abstract IOperation Manipulate(MersenneTwister random, IGeneticProgrammingModel gpModel, FunctionLibrary library, int maxSize, int maxHeight, IScope scope);
39
40    public override IOperation Apply(IScope scope) {
41      FunctionLibrary funLibrary = GetVariableValue<FunctionLibrary>("FunctionLibrary", scope, true);
42      IGeneticProgrammingModel gpModel = GetVariableValue<IGeneticProgrammingModel>("FunctionTree", scope, false);
43      MersenneTwister random = GetVariableValue<MersenneTwister>("Random", scope, true);
44      int maxTreeSize = GetVariableValue<IntData>("MaxTreeSize", scope, true).Data;
45      int maxTreeHeight = GetVariableValue<IntData>("MaxTreeHeight", scope, true).Data;
46
47      return Manipulate(random, gpModel, funLibrary, maxTreeSize, maxTreeHeight, scope);
48    }
49  }
50}
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