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source: branches/HL-3.2-MonoMigration/HeuristicLab.StructureIdentification/ProbabilisticTreeCreator.cs @ 3747

Last change on this file since 3747 was 444, checked in by gkronber, 16 years ago

fixed #227

File size: 3.7 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 System.Linq;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Operators;
26using System;
27using HeuristicLab.Random;
28using HeuristicLab.Functions;
29using System.Diagnostics;
30
31namespace HeuristicLab.StructureIdentification {
32  public class ProbabilisticTreeCreator : OperatorBase {
33    public override string Description {
34      get { return @"Generates a new random operator tree."; }
35    }
36
37    public ProbabilisticTreeCreator()
38      : base() {
39      AddVariableInfo(new VariableInfo("Random", "Uniform random number generator", typeof(MersenneTwister), VariableKind.In));
40      AddVariableInfo(new VariableInfo("OperatorLibrary", "The operator library containing all available operators", typeof(GPOperatorLibrary), VariableKind.In));
41      AddVariableInfo(new VariableInfo("MinTreeSize", "The minimal allowed size of the tree", typeof(IntData), VariableKind.In));
42      AddVariableInfo(new VariableInfo("MaxTreeSize", "The maximal allowed size of the tree", typeof(IntData), VariableKind.In));
43      AddVariableInfo(new VariableInfo("MaxTreeHeight", "The maximal allowed height of the tree", typeof(IntData), VariableKind.In));
44      AddVariableInfo(new VariableInfo("FunctionTree", "The created tree", typeof(IFunctionTree), VariableKind.New | VariableKind.Out));
45      AddVariableInfo(new VariableInfo("TreeSize", "The size (number of nodes) of the tree", typeof(IntData), VariableKind.New | VariableKind.Out));
46      AddVariableInfo(new VariableInfo("TreeHeight", "The height of the tree", typeof(IntData), VariableKind.New | VariableKind.Out));
47    }
48
49    public override IOperation Apply(IScope scope) {
50      IRandom random = GetVariableValue<IRandom>("Random", scope, true);
51      GPOperatorLibrary opLibrary = GetVariableValue<GPOperatorLibrary>("OperatorLibrary", scope, true);
52      int minTreeSize = GetVariableValue<IntData>("MinTreeSize", scope, true).Data;
53      int maxTreeSize = GetVariableValue<IntData>("MaxTreeSize", scope, true).Data;
54      int maxTreeHeight = GetVariableValue<IntData>("MaxTreeHeight", scope, true).Data;
55
56      TreeGardener gardener = new TreeGardener(random, opLibrary);
57
58      int treeSize = random.Next(minTreeSize, maxTreeSize + 1);
59      IFunctionTree root = gardener.PTC2(random, treeSize, maxTreeHeight);
60
61      int actualTreeSize = root.Size;
62      int actualTreeHeight = root.Height;
63
64      scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName("FunctionTree"), root));
65      scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName("TreeSize"), new IntData(actualTreeSize)));
66      scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName("TreeHeight"), new IntData(actualTreeHeight)));
67
68      Debug.Assert(gardener.IsValidTree(root) && actualTreeHeight<=maxTreeHeight);
69
70      return gardener.CreateInitializationOperation(gardener.GetAllSubTrees(root), scope);
71    }
72  }
73}
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