#region License Information /* HeuristicLab * Copyright (C) 2002-2011 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.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.VehicleRouting { /// /// An operator for analyzing the best solution of Vehicle Routing Problems. /// [Item("BestVRPSolutionAnalyzer", "An operator for analyzing the best solution of Vehicle Routing Problems.")] [StorableClass] public sealed class BestVRPSolutionAnalyzer : SingleSuccessorOperator, IAnalyzer { public ScopeTreeLookupParameter VRPToursParameter { get { return (ScopeTreeLookupParameter)Parameters["VRPTours"]; } } public ILookupParameter DistanceMatrixParameter { get { return (ILookupParameter)Parameters["DistanceMatrix"]; } } public ILookupParameter UseDistanceMatrixParameter { get { return (ILookupParameter)Parameters["UseDistanceMatrix"]; } } public LookupParameter CoordinatesParameter { get { return (LookupParameter)Parameters["Coordinates"]; } } public ILookupParameter ReadyTimeParameter { get { return (ILookupParameter)Parameters["ReadyTime"]; } } public ILookupParameter DueTimeParameter { get { return (ILookupParameter)Parameters["DueTime"]; } } public ILookupParameter ServiceTimeParameter { get { return (ILookupParameter)Parameters["ServiceTime"]; } } public ScopeTreeLookupParameter QualityParameter { get { return (ScopeTreeLookupParameter)Parameters["Quality"]; } } public ScopeTreeLookupParameter OverloadParameter { get { return (ScopeTreeLookupParameter)Parameters["Overload"]; } } public ScopeTreeLookupParameter TardinessParameter { get { return (ScopeTreeLookupParameter)Parameters["Tardiness"]; } } public ScopeTreeLookupParameter DistanceParameter { get { return (ScopeTreeLookupParameter)Parameters["Distance"]; } } public ScopeTreeLookupParameter TravelTimeParameter { get { return (ScopeTreeLookupParameter)Parameters["TravelTime"]; } } public ScopeTreeLookupParameter VehiclesUtilizedParameter { get { return (ScopeTreeLookupParameter)Parameters["VehiclesUtilized"]; } } public LookupParameter BestSolutionParameter { get { return (LookupParameter)Parameters["BestSolution"]; } } public ValueLookupParameter ResultsParameter { get { return (ValueLookupParameter)Parameters["Results"]; } } public LookupParameter BestKnownQualityParameter { get { return (LookupParameter)Parameters["BestKnownQuality"]; } } public LookupParameter BestKnownSolutionParameter { get { return (LookupParameter)Parameters["BestKnownSolution"]; } } [StorableConstructor] private BestVRPSolutionAnalyzer(bool deserializing) : base(deserializing) { } private BestVRPSolutionAnalyzer(BestVRPSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { } public BestVRPSolutionAnalyzer() : base() { Parameters.Add(new ScopeTreeLookupParameter("VRPTours", "The VRP tours which should be evaluated.")); Parameters.Add(new LookupParameter("Coordinates", "The x- and y-Coordinates of the cities.")); Parameters.Add(new LookupParameter("DistanceMatrix", "The matrix which contains the distances between the cities.")); Parameters.Add(new LookupParameter("UseDistanceMatrix", "True if a distance matrix should be calculated and used for evaluation, otherwise false.")); Parameters.Add(new LookupParameter("ReadyTime", "The ready time of each customer.")); Parameters.Add(new LookupParameter("DueTime", "The due time of each customer.")); Parameters.Add(new LookupParameter("ServiceTime", "The service time of each customer.")); Parameters.Add(new LookupParameter("BestKnownQuality", "The quality of the best known solution of this VRP instance.")); Parameters.Add(new LookupParameter("BestKnownSolution", "The best known solution of this VRP instance.")); Parameters.Add(new ScopeTreeLookupParameter("Quality", "The qualities of the VRP solutions which should be analyzed.")); Parameters.Add(new ScopeTreeLookupParameter("Distance", "The distances of the VRP solutions which should be analyzed.")); Parameters.Add(new ScopeTreeLookupParameter("Overload", "The overloads of the VRP solutions which should be analyzed.")); Parameters.Add(new ScopeTreeLookupParameter("Tardiness", "The tardiness of the VRP solutions which should be analyzed.")); Parameters.Add(new ScopeTreeLookupParameter("TravelTime", "The travel times 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 LookupParameter("BestSolution", "The best VRP solution.")); Parameters.Add(new ValueLookupParameter("Results", "The result collection where the best VRP solution should be stored.")); } public override IDeepCloneable Clone(Cloner cloner) { return new BestVRPSolutionAnalyzer(this, cloner); } [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { #region Backwards Compatibility if (!Parameters.ContainsKey("BestKnownQuality")) { Parameters.Add(new LookupParameter("BestKnownQuality", "The quality of the best known solution of this VRP instance.")); } if (!Parameters.ContainsKey("BestKnownSolution")) { Parameters.Add(new LookupParameter("BestKnownSolution", "The best known solution of this VRP instance.")); } #endregion } public override IOperation Apply() { DoubleMatrix coordinates = CoordinatesParameter.ActualValue; ItemArray solutions = VRPToursParameter.ActualValue; ItemArray qualities = QualityParameter.ActualValue; ItemArray overloads = OverloadParameter.ActualValue; ItemArray tardinesses = TardinessParameter.ActualValue; ResultCollection results = ResultsParameter.ActualValue; ItemArray distances = DistanceParameter.ActualValue; ItemArray travelTimes = TravelTimeParameter.ActualValue; ItemArray vehiclesUtilizations = VehiclesUtilizedParameter.ActualValue; DoubleValue bestKnownQuality = BestKnownQualityParameter.ActualValue; int i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index; IVRPEncoding best = solutions[i].Clone() as IVRPEncoding; VRPSolution solution = BestSolutionParameter.ActualValue; if (solution == null) { solution = new VRPSolution(coordinates, best.Clone() as IVRPEncoding, new DoubleValue(qualities[i].Value), new DoubleValue(distances[i].Value), new DoubleValue(overloads[i].Value), new DoubleValue(tardinesses[i].Value), new DoubleValue(travelTimes[i].Value), new DoubleValue(vehiclesUtilizations[i].Value), DistanceMatrixParameter.ActualValue, UseDistanceMatrixParameter.ActualValue, ReadyTimeParameter.ActualValue, DueTimeParameter.ActualValue, ServiceTimeParameter.ActualValue); BestSolutionParameter.ActualValue = solution; results.Add(new Result("Best VRP Solution", solution)); results.Add(new Result("Best VRP Solution TravelTime", new DoubleValue(travelTimes[i].Value))); results.Add(new Result("Best VRP Solution Distance", new DoubleValue(distances[i].Value))); results.Add(new Result("Best VRP Solution VehicleUtilization", new DoubleValue(vehiclesUtilizations[i].Value))); results.Add(new Result("Best VRP Solution Overload", new DoubleValue(overloads[i].Value))); results.Add(new Result("Best VRP Solution Tardiness", new DoubleValue(tardinesses[i].Value))); } else { if (qualities[i].Value <= solution.Quality.Value) { solution.Coordinates = coordinates; solution.Solution = best.Clone() as IVRPEncoding; solution.Quality.Value = qualities[i].Value; solution.Distance.Value = (results["Best VRP Solution Distance"].Value as DoubleValue).Value = distances[i].Value; solution.Overload.Value = (results["Best VRP Solution Overload"].Value as DoubleValue).Value = overloads[i].Value; solution.Tardiness.Value = (results["Best VRP Solution Tardiness"].Value as DoubleValue).Value = tardinesses[i].Value; solution.TravelTime.Value = (results["Best VRP Solution TravelTime"].Value as DoubleValue).Value = travelTimes[i].Value; solution.VehicleUtilization.Value = (results["Best VRP Solution VehicleUtilization"].Value as DoubleValue).Value = vehiclesUtilizations[i].Value; solution.DistanceMatrix = DistanceMatrixParameter.ActualValue; solution.UseDistanceMatrix = UseDistanceMatrixParameter.ActualValue; solution.ReadyTime = ReadyTimeParameter.ActualValue; solution.DueTime = DueTimeParameter.ActualValue; solution.ServiceTime = ServiceTimeParameter.ActualValue; } } if (bestKnownQuality == null || qualities[i].Value < bestKnownQuality.Value) { BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value); BestKnownSolutionParameter.ActualValue = (IVRPEncoding)best.Clone(); } return base.Apply(); } } }