#region License Information /* HeuristicLab * Copyright (C) 2002-2010 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.Core; using HeuristicLab.Data; 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 { /// /// 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, IGeneralVRPOperator { public ILookupParameter ProblemInstanceParameter { get { return (ILookupParameter)Parameters["ProblemInstance"]; } } public ScopeTreeLookupParameter VRPToursParameter { get { return (ScopeTreeLookupParameter)Parameters["VRPTours"]; } } public ScopeTreeLookupParameter QualityParameter { get { return (ScopeTreeLookupParameter)Parameters["Quality"]; } } public ScopeTreeLookupParameter DistanceParameter { get { return (ScopeTreeLookupParameter)Parameters["Distance"]; } } public ScopeTreeLookupParameter VehiclesUtilizedParameter { get { return (ScopeTreeLookupParameter)Parameters["VehiclesUtilized"]; } } public LookupParameter BestSolutionParameter { get { return (LookupParameter)Parameters["BestSolution"]; } } public ValueLookupParameter ResultsParameter { get { return (ValueLookupParameter)Parameters["Results"]; } } [StorableConstructor] private BestVRPSolutionAnalyzer(bool deserializing) : base(deserializing) { } public BestVRPSolutionAnalyzer() : base() { Parameters.Add(new LookupParameter("ProblemInstance", "The problem instance.")); Parameters.Add(new ScopeTreeLookupParameter("VRPTours", "The VRP tours which should be evaluated.")); 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("VehiclesUtilized", "The utilized vehicles of the VRP solutions which should be analyzed.")); Parameters.Add(new LookupParameter("BestSolution", "The best TSP solution.")); Parameters.Add(new ValueLookupParameter("Results", "The result collection where the best VRP solution should be stored.")); } public override IOperation Apply() { IVRPProblemInstance problemInstance = ProblemInstanceParameter.ActualValue; ItemArray solutions = VRPToursParameter.ActualValue; ResultCollection results = ResultsParameter.ActualValue; ItemArray qualities = QualityParameter.ActualValue; ItemArray distances = DistanceParameter.ActualValue; ItemArray vehiclesUtilizations = VehiclesUtilizedParameter.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(problemInstance, best.Clone() as IVRPEncoding, new DoubleValue(qualities[i].Value)); BestSolutionParameter.ActualValue = solution; results.Add(new Result("Best VRP Solution", solution)); 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))); } else { if (qualities[i].Value <= solution.Quality.Value) { solution.ProblemInstance = problemInstance; solution.Solution = best.Clone() as IVRPEncoding; solution.Quality.Value = qualities[i].Value; (results["Best VRP Solution Distance"].Value as DoubleValue).Value = distances[i].Value; (results["Best VRP Solution VehicleUtilization"].Value as DoubleValue).Value = vehiclesUtilizations[i].Value; } } return base.Apply(); } } }