#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.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.VehicleRouting { [Item("BestVRPToursMemorizer", "An operator that updates the best VRP tour found so far in the scope three.")] [StorableClass] public class BestVRPToursMemorizer : SingleSuccessorOperator { public ScopeTreeLookupParameter DistanceParameter { get { return (ScopeTreeLookupParameter)Parameters["Distance"]; } } public ScopeTreeLookupParameter VehiclesUtilizedParameter { get { return (ScopeTreeLookupParameter)Parameters["VehiclesUtilized"]; } } public ValueLookupParameter BestDistanceParameter { get { return (ValueLookupParameter)Parameters["BestDistance"]; } } public ValueLookupParameter BestVehiclesUtilizedParameter { get { return (ValueLookupParameter)Parameters["BestVehiclesUtilized"]; } } public BestVRPToursMemorizer() : base() { Parameters.Add(new ScopeTreeLookupParameter("Distance", "The distances of the VRP solutions which should be analyzed.")); Parameters.Add(new ScopeTreeLookupParameter("VehiclesUtilized", "The utilized vehicles of the VRP solutions which should be analyzed.")); Parameters.Add(new ValueLookupParameter("BestDistance", "The best distance found so far.")); Parameters.Add(new ValueLookupParameter("BestVehiclesUtilized", "The best vehicles utilized found so far.")); } [StorableConstructor] protected BestVRPToursMemorizer(bool deserializing) : base(deserializing) { } public override IDeepCloneable Clone(Cloner cloner) { return new BestVRPToursMemorizer(this, cloner); } protected BestVRPToursMemorizer(BestVRPToursMemorizer original, Cloner cloner) : base(original, cloner) { } public override IOperation Apply() { int i = DistanceParameter.ActualValue.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index; if (BestDistanceParameter.ActualValue == null) BestDistanceParameter.ActualValue = new DoubleValue(DistanceParameter.ActualValue[i].Value); else if (DistanceParameter.ActualValue[i].Value <= BestDistanceParameter.ActualValue.Value) BestDistanceParameter.ActualValue.Value = DistanceParameter.ActualValue[i].Value; i = VehiclesUtilizedParameter.ActualValue.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index; if (BestVehiclesUtilizedParameter.ActualValue == null) BestVehiclesUtilizedParameter.ActualValue = new DoubleValue(VehiclesUtilizedParameter.ActualValue[i].Value); else if (VehiclesUtilizedParameter.ActualValue[i].Value <= BestVehiclesUtilizedParameter.ActualValue.Value) BestVehiclesUtilizedParameter.ActualValue.Value = VehiclesUtilizedParameter.ActualValue[i].Value; return base.Apply(); } } }