source: branches/OptimizationNetworks/HeuristicLab.Networks.IntegratedOptimization.LocationRouting/3.3/LrpOrchestratorNode2.cs @ 14674

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2017 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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Core.Networks;
using HeuristicLab.Data;
using HeuristicLab.Encodings.IntegerVectorEncoding;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Optimization;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.FacilityLocation;
using HeuristicLab.Problems.VehicleRouting;
using HeuristicLab.Problems.VehicleRouting.ProblemInstances;

namespace HeuristicLab.Networks.IntegratedOptimization.LocationRouting {
  [Item("LrpOrchestratorNode2", "Orchestrator for LRP optimization network version 2.")]
  [StorableClass]
  public sealed class LrpOrchestratorNode2 : LrpOrchestratorNode {
    [StorableConstructor]
    private LrpOrchestratorNode2(bool deserializing) : base(deserializing) { }
    private LrpOrchestratorNode2(LrpOrchestratorNode2 original, Cloner cloner) : base(original, cloner) { }
    public LrpOrchestratorNode2() : this("LrpOrchestratorNode2") { }
    public LrpOrchestratorNode2(string name) : base(name) {
      MetaSolverOrchestrationPort = CreateOrchestrationPort<MinimizationVariegationProblem<RealVectorEncoding>>(MetaSolverName + OrchestrationPortNameSuffix);
      MetaSolverEvaluationPort = CreateEvaluationPort<RealVector>(MetaSolverName + EvaluationPortNameSuffix, "RealVector", "Quality");
      FlpSolverOrchestrationPort = CreateOrchestrationPort<FacilityLocationProblem>(FlpSolverName + OrchestrationPortNameSuffix);
      VrpSolverOrchestrationPort = CreateOrchestrationPort<VehicleRoutingProblem>(VrpSolverName + OrchestrationPortNameSuffix);
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new LrpOrchestratorNode2(this, cloner);
    }

    public override void Prepare(bool clearRuns = false) {
      base.Prepare(clearRuns);

      var metaMsg = MetaSolverOrchestrationPort.PrepareMessage();
      var msgFlags = OrchestrationMessage.Prepare | OrchestrationMessage.SetEvalHook;
      if (clearRuns) msgFlags |= OrchestrationMessage.ClearRuns;
      metaMsg["OrchestrationMessage"] = new EnumValue<OrchestrationMessage>(msgFlags);
      var problem = new MinimizationVariegationProblem<RealVectorEncoding>();
      problem.Encoding.Length = nrOfDepots * 2;
      problem.Encoding.Bounds = new DoubleMatrix(new[,] { { -1.0, 1.0 } });
      metaMsg["Problem"] = problem;
      MetaSolverOrchestrationPort.SendMessage(metaMsg);
    }

    #region MetaSolver Message Handling
    protected override void MetaSolverEvaluationPortMessage(IMessage message) {
      var factors = (RealVector)message["RealVector"];

      var flp = (FacilityLocationProblem)FlpParameter.Value.Clone();
      var dc = (double[,])depotCoordinates.Clone();
      for (int i = 0; i < nrOfDepots; i++) {
        dc[i, 0] = dc[i, 0] * factors[i * 2];
        dc[i, 1] = dc[i, 1] * factors[i * 2 + 1];
      }
      flp.DeliveryCostsParameter.Value = new DoubleMatrix(LrpUtils.GetFlpDeliveryCosts(dc, customerCoordinates, distanceType));

      var flpMsg = FlpSolverOrchestrationPort.PrepareMessage();
      flpMsg["OrchestrationMessage"] = new EnumValue<OrchestrationMessage>(OrchestrationMessage.Prepare | OrchestrationMessage.ClearRuns | OrchestrationMessage.Start);
      flpMsg["Problem"] = flp;
      FlpSolverOrchestrationPort.SendMessage(flpMsg);
      cts.Token.ThrowIfCancellationRequested();

      var flpResults = (ResultCollection)flpMsg["Results"];
      var bestFlpSolution = (IntegerVector)flpResults["Best Solution"].Value;
      var flpSolution = FlpParameter.Value.GetSolution(bestFlpSolution);

      var depots = bestFlpSolution.Select((x, i) => Tuple.Create(x, i)).GroupBy(x => x.Item1, x => x.Item2);
      var vrpSolutions = new ResultCollection(depots.Count());
      foreach (var depot in depots.OrderBy(x => x.Key)) {
        var depotIdx = depot.Key;
        var customers = depot.ToArray();

        var vrp = (VehicleRoutingProblem)VrpParameter.Value.Clone();
        var vrpInstance = (CVRPProblemInstance)vrp.ProblemInstance;
        var coordinates = LrpUtils.GetVrpCoordinates(depotCoordinates, customerCoordinates, new[] { depotIdx }, customers);
        var distances = LrpUtils.GetVrpDistances(coordinates, distanceType);
        vrpInstance.Coordinates = new DoubleMatrix(coordinates);
        vrpInstance.DistanceMatrix = new DoubleMatrix(distances);
        vrpInstance.Demand = new DoubleArray(new[] { 0.0 }.Concat(customers.Select(x => customerDemands[x])).ToArray());
        vrpInstance.Vehicles.Value = customers.Length;

        var vrpMsg = VrpSolverOrchestrationPort.PrepareMessage();
        vrpMsg["OrchestrationMessage"] = new EnumValue<OrchestrationMessage>(OrchestrationMessage.Prepare | OrchestrationMessage.ClearRuns | OrchestrationMessage.Start);
        vrpMsg["Problem"] = vrp;
        VrpSolverOrchestrationPort.SendMessage(vrpMsg);
        cts.Token.ThrowIfCancellationRequested();

        var vrpResults = (ResultCollection)vrpMsg["Results"];
        IResult bestVrpSolutionResult;
        if (!vrpResults.TryGetValue("Best valid VRP Solution", out bestVrpSolutionResult)
         && !vrpResults.TryGetValue("Best VRP Solution", out bestVrpSolutionResult)) {
          // no best solution found ... throw?
        }
        var bestVrpSolution = (VRPSolution)bestVrpSolutionResult.Value.Clone();
        vrpSolutions.Add(new Result("Depot " + depot.Key, bestVrpSolution));
      }

      #region Analyze
      double objectiveValue = LrpUtils.Evaluate(flpSolution, vrpSolutions.Select(x => (VRPSolution)x.Value).ToArray());
      ((DoubleValue)message["Quality"]).Value = objectiveValue;

      IResult bestQuality;
      if (!Results.TryGetValue("Best LRP Quality", out bestQuality)) {
        Results.Add(new Result("Best LRP Quality", new DoubleValue(objectiveValue)));
        Results.Add(new Result("Best FLP Solution", flpSolution));
        Results.Add(new Result("Best VRP Solutions", vrpSolutions));
      } else if (objectiveValue < ((DoubleValue)bestQuality.Value).Value) {
        ((DoubleValue)bestQuality.Value).Value = objectiveValue;
        Results["Best FLP Solution"].Value = flpSolution;
        Results["Best VRP Solutions"].Value = vrpSolutions;
      }
      #endregion
    }
    #endregion
  }
}