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source: branches/GP-Refactoring-713/sources/HeuristicLab.GP/3.3/Recombination/SizeConstrictedGPCrossoverBase.cs @ 2210

Last change on this file since 2210 was 2210, checked in by gkronber, 15 years ago

GP Refactoring #713

  • introduced a plugin for GP interfaces
  • created a new interface IGeneticProgrammingModel which represents GP models in HL scopes instead of IFunctionTree
  • changed interfaces IFunction and IFunctionTree
  • moved some files to new directories (general housekeeping)
  • changed all GP operators and engines to work with IGeneticProgrammingModels
  • removed parameters TreeSize and TreeHeight in all GP operators
  • changed parameter OperatorLibrary to FunctionLibrary in all GP operators
File size: 3.0 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;
23using System.Collections.Generic;
24using System.Linq;
25using System.Text;
26using HeuristicLab.Core;
27using HeuristicLab.Operators;
28using HeuristicLab.Random;
29using HeuristicLab.Data;
30using HeuristicLab.Constraints;
31using System.Diagnostics;
32using HeuristicLab.GP.Interfaces;
33
34namespace HeuristicLab.GP {
35  public abstract class SizeConstrictedGPCrossoverBase : GPCrossoverBase {
36
37    private int MaxRecombinationTries { get { return 20; } }
38
39    public SizeConstrictedGPCrossoverBase()
40      : base() {
41      AddVariableInfo(new VariableInfo("MaxTreeHeight", "The maximal allowed height of the tree", typeof(IntData), VariableKind.In));
42      AddVariableInfo(new VariableInfo("MaxTreeSize", "The maximal allowed size (number of nodes) of the tree", typeof(IntData), VariableKind.In));
43    }
44
45    internal override IFunctionTree Cross(IScope scope, TreeGardener gardener, IRandom random, IFunctionTree tree0, IFunctionTree tree1) {
46      int maxTreeHeight = GetVariableValue<IntData>("MaxTreeHeight", scope, true).Data;
47      int maxTreeSize = GetVariableValue<IntData>("MaxTreeSize", scope, true).Data;
48
49      // when tree0 is terminal then try to cross into tree1, when tree1 is also terminal just return tree0 unchanged.
50      IFunctionTree newTree;
51      int tries = 0;
52      do {
53        if (tries++ > MaxRecombinationTries)
54          // if after so many tries it was not possible to create a solution within the given size constraints just return the tree without changes.
55          return tree0;
56        if (tree0.SubTrees.Count > 0) {
57          newTree = Cross(gardener, random, (IFunctionTree)tree0.Clone(), (IFunctionTree)tree1.Clone(), maxTreeSize, maxTreeHeight);
58        } else if (tree1.SubTrees.Count > 0) {
59          newTree = Cross(gardener, random, (IFunctionTree)tree1.Clone(), (IFunctionTree)tree0.Clone(), maxTreeSize, maxTreeHeight);
60        } else newTree = tree0;
61      } while (newTree.GetSize() > maxTreeSize || newTree.GetHeight() > maxTreeHeight);
62      return newTree;
63    }
64
65    internal abstract IFunctionTree Cross(TreeGardener gardener, IRandom random, IFunctionTree tree0, IFunctionTree tree1, int maxTreeSize, int maxTreeHeight);
66  }
67}
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