#region License Information
/* HeuristicLab
* Copyright (C) 2002-2015 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.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.EvolutionTracking;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
[StorableClass]
[Item("SymbolicDataAnalysisExpressionBeforeCrossoverOperator", "An operator which runs before crossover and enables the tracking of genetic fragments.")]
public class SymbolicDataAnalysisExpressionBeforeCrossoverOperator : BeforeCrossoverOperator {
public SymbolicDataAnalysisExpressionBeforeCrossoverOperator() { }
protected SymbolicDataAnalysisExpressionBeforeCrossoverOperator(SymbolicDataAnalysisExpressionBeforeCrossoverOperator original, Cloner cloner)
: base(original, cloner) {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new SymbolicDataAnalysisExpressionBeforeCrossoverOperator(this, cloner);
}
[StorableConstructor]
protected SymbolicDataAnalysisExpressionBeforeCrossoverOperator(bool deserializing) : base(deserializing) { }
public override IOperation Apply() {
var result = base.Apply(); // the base operator will add the child to the graph before the actual crossover operation takes place
var parents = ParentsParameter.ActualValue.ToList();
var childVertex = GenealogyGraph.GetByContent(parents[0]); // 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) {
arcs[i].Data = parents[i].IterateNodesPrefix().ToCloneableCollection();
}
return result;
}
}
}