#region License Information /* HeuristicLab * Copyright (C) 2002-2018 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Problems.VehicleRouting.Encodings.General; using HeuristicLab.Problems.VehicleRouting.Interfaces; namespace HeuristicLab.Problems.VehicleRouting.Encodings.Prins { [Item("PrinsCrossover", "An operator which crosses two VRP representations.")] [StorableClass] public abstract class PrinsCrossover : VRPCrossover, IStochasticOperator, IPrinsOperator { public ILookupParameter RandomParameter { get { return (LookupParameter)Parameters["Random"]; } } [StorableConstructor] protected PrinsCrossover(bool deserializing) : base(deserializing) { } public PrinsCrossover() : base() { Parameters.Add(new LookupParameter("Random", "The pseudo random number generator which should be used for stochastic manipulation operators.")); } protected PrinsCrossover(PrinsCrossover original, Cloner cloner) : base(original, cloner) { } protected abstract PrinsEncoding Crossover(IRandom random, PrinsEncoding parent1, PrinsEncoding parent2); public override IOperation InstrumentedApply() { ItemArray parents = new ItemArray(ParentsParameter.ActualValue.Length); for (int i = 0; i < ParentsParameter.ActualValue.Length; i++) { IVRPEncoding solution = ParentsParameter.ActualValue[i]; if (!(solution is PrinsEncoding)) { parents[i] = PrinsEncoding.ConvertFrom(solution, ProblemInstance); } else { parents[i] = solution; } } ParentsParameter.ActualValue = parents; ChildParameter.ActualValue = Crossover(RandomParameter.ActualValue, parents[0] as PrinsEncoding, parents[1] as PrinsEncoding); return base.InstrumentedApply(); } } }