source: branches/OptimizationNetworks/HeuristicLab.Optimization.Networks/3.3/Optimization.Networks.KSPTSP/KSPTSPConnectorCode.cs @ 11565

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2014 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Core.Networks;
using HeuristicLab.Data;
using HeuristicLab.Encodings.BinaryVectorEncoding;
using HeuristicLab.Problems.TravelingSalesman;
using System.Drawing;
using System.Linq;
using System.Threading;

namespace HeuristicLab.Optimization.Networks.KSPTSP {
  [Item("KSPTSPConnector", "A node of an optimization network which connects a KSP and a TSP.")]
  public class CompiledKSPTSPConnector : ProgrammableNode.CompiledProgrammableNode {
    public static new Image StaticItemImage {
      get { return HeuristicLab.Common.Resources.VSImageLibrary.RadialChart; }
    }

    protected CompiledKSPTSPConnector(CompiledKSPTSPConnector original, Cloner cloner) : base(original, cloner) { }
    public CompiledKSPTSPConnector(ProgrammableNode context)
      : base(context) {
      if (Ports.Count == 0)
        Initialize();
    }

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

    public override void Initialize() {
      base.Initialize();
      var parameters = new MessagePort("Parameters");
      Ports.Add(parameters);
      parameters.Parameters.Add(new PortParameter<DoubleMatrix>("Cities") { Type = PortParameterType.Input });
      parameters.Parameters.Add(new PortParameter<DoubleValue>("TransportCostsFactor") { Type = PortParameterType.Input });

      var ksp = new MessagePort("KSP Connector");
      Ports.Add(ksp);
      ksp.Parameters.Add(new PortParameter<BinaryVector>("KnapsackSolution") { Type = PortParameterType.Input });
      ksp.Parameters.Add(new PortParameter<DoubleValue>("Quality") { Type = PortParameterType.Input | PortParameterType.Output });
      ksp.Parameters.Add(new PortParameter<DoubleValue>("TransportCosts") { Type = PortParameterType.Output });
      ksp.Parameters.Add(new PortParameter<PathTSPTour>("Route") { Type = PortParameterType.Output });

      var tsp = new MessagePort("TSP Connector");
      Ports.Add(tsp);
      tsp.Parameters.Add(new PortParameter<DoubleMatrix>("Coordinates") { Type = PortParameterType.Output });
      tsp.Parameters.Add(new PortParameter<PathTSPTour>("Best TSP Solution") { Type = PortParameterType.Input });
      tsp.Parameters.Add(new PortParameter<DoubleValue>("BestQuality") { Type = PortParameterType.Input });
    }

    public override void RegisterEvents() {
      base.RegisterEvents();
      var ksp = (IMessagePort)Ports["KSP Connector"];
      ksp.MessageReceived += Knapsack_MessageReceived;
    }
    public override void DeregisterEvents() {
      var ksp = (IMessagePort)Ports["KSP Connector"];
      ksp.MessageReceived -= Knapsack_MessageReceived;
      base.DeregisterEvents();
    }

    private void Knapsack_MessageReceived(object sender, EventArgs<IMessage, CancellationToken> e) {
      // get parameters
      var parametersPort = (IMessagePort)Ports["Parameters"];
      var parameters = parametersPort.PrepareMessage();
      parametersPort.SendMessage(parameters, e.Value2);
      var cities = (DoubleMatrix)parameters["Cities"];
      var factor = ((DoubleValue)parameters["TransportCostsFactor"]).Value;

      // build coordinates
      var kspMsg = e.Value;
      var kspSolution = (BinaryVector)kspMsg["KnapsackSolution"];
      var kspQuality = ((DoubleValue)kspMsg["Quality"]).Value;
      var coords = new DoubleMatrix(kspSolution.Count(x => x), 2);
      int j = 0;
      for (int i = 0; i < kspSolution.Length; i++) {
        if (kspSolution[i]) {
          coords[j, 0] = cities[i, 0];
          coords[j, 1] = cities[i, 1];
          j++;
        }
      }

      // solve TSP
      var tspConnectorPort = (IMessagePort)Ports["TSP Connector"];
      var tspMsg = tspConnectorPort.PrepareMessage();
      tspMsg["Coordinates"] = coords;
      tspConnectorPort.SendMessage(tspMsg, e.Value2);
      var tspSolution = (PathTSPTour)tspMsg["Best TSP Solution"];
      var tspQuality = ((DoubleValue)tspMsg["BestQuality"]).Value;

      // calculate transport costs
      ((DoubleValue)kspMsg["Quality"]).Value = kspQuality - factor * tspQuality;
      kspMsg["TransportCosts"] = new DoubleValue(factor * tspQuality);
      kspMsg["Route"] = tspSolution;
    }
  }
}