#region License Information /* HeuristicLab * Copyright (C) 2002-2016 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.Interfaces; using HeuristicLab.Problems.VehicleRouting.Variants; namespace HeuristicLab.Problems.VehicleRouting.Encodings.General.Crossovers { [Item("RandomParentCloneCrossover", "An operator which randomly chooses one parent and returns a clone.")] [StorableClass] public sealed class RandomParentCloneCrossover : VRPOperator, IStochasticOperator, IGeneralVRPOperator, IVRPCrossover { public ILookupParameter RandomParameter { get { return (LookupParameter)Parameters["Random"]; } } public ILookupParameter> ParentsParameter { get { return (ScopeTreeLookupParameter)Parameters["Parents"]; } } public ILookupParameter ChildParameter { get { return (ILookupParameter)Parameters["Child"]; } } [StorableConstructor] private RandomParentCloneCrossover(bool deserializing) : base(deserializing) { } public RandomParentCloneCrossover() : base() { Parameters.Add(new LookupParameter("Random", "The pseudo random number generator which should be used for stochastic manipulation operators.")); Parameters.Add(new ScopeTreeLookupParameter("Parents", "The parent permutations which should be crossed.")); ParentsParameter.ActualName = "VRPTours"; Parameters.Add(new LookupParameter("Child", "The child permutation resulting from the crossover.")); ChildParameter.ActualName = "VRPTours"; } public override IDeepCloneable Clone(Cloner cloner) { return new RandomParentCloneCrossover(this, cloner); } private RandomParentCloneCrossover(RandomParentCloneCrossover original, Cloner cloner) : base(original, cloner) { } public override IOperation InstrumentedApply() { if (RandomParameter.ActualValue.Next() < 0.5) ChildParameter.ActualValue = ParentsParameter.ActualValue[0].Clone() as IVRPEncoding; else ChildParameter.ActualValue = ParentsParameter.ActualValue[1].Clone() as IVRPEncoding; return base.InstrumentedApply(); } } }