#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 System; using System.Collections.Generic; using System.Linq; using HeuristicLab.Collections; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Operators; 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 { [Item("MultiVRPSolutionCrossover", "Randomly selects and applies one of its crossovers every time it is called.")] [StorableClass] public class MultiVRPSolutionCrossover : StochasticMultiBranch, IVRPCrossover, IGeneralVRPOperator, IMultiVRPOperator, IStochasticOperator { public override bool CanChangeName { get { return false; } } protected override bool CreateChildOperation { get { return true; } } public ILookupParameter ProblemInstanceParameter { get { return (LookupParameter)Parameters["ProblemInstance"]; } } public ILookupParameter> ParentsParameter { get { return (ScopeTreeLookupParameter)Parameters["Parents"]; } } public ILookupParameter ChildParameter { get { return (ILookupParameter)Parameters["Child"]; } } [StorableConstructor] protected MultiVRPSolutionCrossover(bool deserializing) : base(deserializing) { } public MultiVRPSolutionCrossover() : base() { Parameters.Add(new LookupParameter("ProblemInstance", "The VRP problem instance")); 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"; SelectedOperatorParameter.ActualName = "SelectedCrossoverOperator"; } public override IDeepCloneable Clone(Cloner cloner) { return new MultiVRPSolutionCrossover(this, cloner); } protected MultiVRPSolutionCrossover(MultiVRPSolutionCrossover original, Cloner cloner) : base(original, cloner) { } protected override void Operators_ItemsReplaced(object sender, CollectionItemsChangedEventArgs> e) { base.Operators_ItemsReplaced(sender, e); ParameterizeCrossovers(); } protected override void Operators_ItemsAdded(object sender, CollectionItemsChangedEventArgs> e) { base.Operators_ItemsAdded(sender, e); ParameterizeCrossovers(); } public void SetOperators(IEnumerable operators) { foreach (IOperator op in operators) { if (op is IVRPCrossover && !(op is MultiVRPSolutionCrossover)) { Operators.Add(op.Clone() as IVRPCrossover, true); } } } private void ParameterizeCrossovers() { foreach (IVRPCrossover crossover in Operators.OfType()) { crossover.ChildParameter.ActualName = ChildParameter.Name; crossover.ParentsParameter.ActualName = ParentsParameter.Name; crossover.ProblemInstanceParameter.ActualName = ProblemInstanceParameter.Name; } foreach (IStochasticOperator crossover in Operators.OfType()) { crossover.RandomParameter.ActualName = RandomParameter.Name; } } public override IOperation InstrumentedApply() { if (Operators.Count == 0) throw new InvalidOperationException(Name + ": Please add at least one permutation crossover to choose from."); return base.InstrumentedApply(); } } }