1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using System.Text;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Operators;
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28 | using HeuristicLab.Random;
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29 | using HeuristicLab.Data;
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30 | using HeuristicLab.Constraints;
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31 | using System.Diagnostics;
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32 |
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33 | namespace HeuristicLab.GP {
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34 | public abstract class SizeConstrictedGPCrossoverBase : GPCrossoverBase {
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35 |
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36 | private int MaxRecombinationTries { get { return 20; } }
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37 |
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38 | public SizeConstrictedGPCrossoverBase()
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39 | : base() {
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40 | AddVariableInfo(new VariableInfo("MaxTreeHeight", "The maximal allowed height of the tree", typeof(IntData), VariableKind.In));
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41 | AddVariableInfo(new VariableInfo("MaxTreeSize", "The maximal allowed size (number of nodes) of the tree", typeof(IntData), VariableKind.In));
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42 | }
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43 |
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44 | internal override IFunctionTree Cross(IScope scope, TreeGardener gardener, IRandom random, IFunctionTree tree0, IFunctionTree tree1) {
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45 | int maxTreeHeight = GetVariableValue<IntData>("MaxTreeHeight", scope, true).Data;
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46 | int maxTreeSize = GetVariableValue<IntData>("MaxTreeSize", scope, true).Data;
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47 |
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48 | // when tree0 is terminal then try to cross into tree1, when tree1 is also terminal just return tree0 unchanged.
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49 | IFunctionTree newTree;
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50 | int tries = 0;
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51 | do {
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52 | if (tries++ > MaxRecombinationTries)
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53 | // if after so many tries it was not possible to create a solution within the given size constraints just return the tree without changes.
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54 | return tree0;
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55 | if (tree0.SubTrees.Count > 0) {
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56 | newTree = Cross(gardener, random, (IFunctionTree)tree0.Clone(), (IFunctionTree)tree1.Clone(), maxTreeSize, maxTreeHeight);
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57 | } else if (tree1.SubTrees.Count > 0) {
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58 | newTree = Cross(gardener, random, (IFunctionTree)tree1.Clone(), (IFunctionTree)tree0.Clone(), maxTreeSize, maxTreeHeight);
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59 | } else newTree = tree0;
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60 | } while (newTree.Size > maxTreeSize || newTree.Height > maxTreeHeight);
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61 | return newTree;
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62 | }
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63 |
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64 | internal abstract IFunctionTree Cross(TreeGardener gardener, IRandom random, IFunctionTree tree0, IFunctionTree tree1, int maxTreeSize, int maxTreeHeight);
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65 |
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66 | //private IFunctionTree TakeNextParent(IScope scope) {
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67 | // IFunctionTree parent = GetVariableValue<IFunctionTree>("FunctionTree", scope.SubScopes[0], false);
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68 | // scope.RemoveSubScope(scope.SubScopes[0]);
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69 | // return parent;
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70 | //}
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71 | }
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72 | }
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