1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2014 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.Linq;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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26 | using HeuristicLab.EvolutionTracking;
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27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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28 |
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29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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30 | public class SymbolicDataAnalysisExpressionBeforeCrossoverOperator : BeforeCrossoverOperator<ISymbolicExpressionTree> {
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31 | public SymbolicDataAnalysisExpressionBeforeCrossoverOperator() { }
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32 |
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33 | protected SymbolicDataAnalysisExpressionBeforeCrossoverOperator(SymbolicDataAnalysisExpressionBeforeCrossoverOperator original, Cloner cloner)
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34 | : base(original, cloner) {
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35 | }
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36 |
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37 | public override IDeepCloneable Clone(Cloner cloner) {
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38 | return new SymbolicDataAnalysisExpressionBeforeCrossoverOperator(this, cloner);
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39 | }
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40 |
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41 | [StorableConstructor]
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42 | protected SymbolicDataAnalysisExpressionBeforeCrossoverOperator(bool deserializing) : base(deserializing) { }
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43 |
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44 | public override IOperation Apply() {
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45 | var result = base.Apply(); // the base operator will add the child to the graph before the actual crossover operation takes place
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46 | var parents = ParentsParameter.ActualValue.ToList();
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47 | var childVertex = (IGenealogyGraphNode<ISymbolicExpressionTree>)GenealogyGraph.GetByContent(parents[0]); // use the parent since it is actually the child before crossover (and the ChildParameter doesn't have a value yet)
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48 | var arcs = childVertex.InArcs.ToList();
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49 |
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50 | for (int i = 0; i < parents.Count; ++i) {
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51 | arcs[i].Data = parents[i].IterateNodesPrefix().ToList();
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52 | }
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53 |
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54 | return result;
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55 | }
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56 | }
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57 | }
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