#region License Information /* HeuristicLab * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System.Linq; using HeuristicLab.Core; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using HeuristicLab.EvolutionTracking; namespace HeuristicLab.Problems.DataAnalysis.Symbolic { public class SymbolicDataAnalysisExpressionBeforeManipulatorOperator : BeforeManipulatorOperator { public override IOperation Apply() { var result = base.Apply(); // add the vertex in the genealogy graph var vChild = (IGenealogyGraphNode)GenealogyGraph.GetByContent(ChildParameter.ActualValue); var vClone = vChild.Parents.Last(); vChild.InArcs.First().Data = vClone.Data.IterateNodesPrefix().ToList(); var fragment = (IFragment)vClone.InArcs.Last().Data; if (fragment != null) { // this step must be performed because the fragment root actually references the original child (not the clone). // then, a mutation operation (acting on the original child), could disrupt it fragment.Root = vClone.Data.IterateNodesPrefix().ElementAt(fragment.Index1); } return result; } } }