#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; using System.Linq; using HeuristicLab.Core; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using HeuristicLab.EvolutionTracking; namespace HeuristicLab.Problems.DataAnalysis.Symbolic { public class SymbolicDataAnalysisExpressionBeforeCrossoverOperator : BeforeCrossoverOperator { public override IOperation Apply() { var result = base.Apply(); // the child will be added to the graph before the crossover var parents = ParentsParameter.ActualValue.ToList(); var childVertex = (IGenealogyGraphNode)GenealogyGraph[parents[0]].Last(); // use the parent since it is actually the child before crossover (and the ChildParameter doesn't have a value yet) var arcs = childVertex.InArcs.ToList(); for (int i = 0; i < parents.Count; ++i) { var nodes = parents[i].IterateNodesPrefix().ToList(); arcs[i].Data = nodes; } var parentVertices = childVertex.InArcs.Select(x => (IGenealogyGraphNode)x.Source).ToList(); if (parents[0].Length != parentVertices[0].Content.Length || parents[1].Length != parentVertices[1].Content.Length) { throw new Exception("Inconsistency detected in GenealogyGraph."); } return result; } } }