source: branches/OptimizationNetworks/HeuristicLab.Networks/3.3/KSPTSPControlCode.cs @ 13799

#pragma warning disable 436

#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 System;
using System.Drawing;
using System.Linq;
using System.Threading;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Core.Networks;
using HeuristicLab.Data;
using HeuristicLab.Encodings.BinaryVectorEncoding;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Networks.Programmable;
using HeuristicLab.Problems.Knapsack;
using HeuristicLab.Problems.TravelingSalesman;

namespace HeuristicLab.Networks {
  [Item("KSPTSPControl", "A node of an optimization network which connects a KSP and a TSP.")]
  public class CompiledKSPTSPControl : ProgrammableNode.CompiledProgrammableNode {

    public static new Image StaticItemImage {
      get { return HeuristicLab.Common.Resources.VSImageLibrary.RadialChart; }
    }

    new protected KSPTSPControl Context {
      get { return (KSPTSPControl)base.Context; }
    }

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

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

    public override void Initialize() {
      base.Initialize();
      var configPort = new ConfigurationPort("Configure");
      Ports.Add(configPort);

      configPort.Parameters.Add(new PortParameter<IntValue>("KnapsackCapacity") {
        Type = PortParameterType.Input
      });
      configPort.Parameters.Add(new PortParameter<IntArray>("Values") {
        Type = PortParameterType.Input
      });
      configPort.Parameters.Add(new PortParameter<IntArray>("Weights") {
        Type = PortParameterType.Input
      });
      configPort.Parameters.Add(new PortParameter<DoubleMatrix>("Coordinates") {
        Type = PortParameterType.Input
      });
      configPort.Parameters.Add(new PortParameter<DoubleValue>("TransportCostsFactor") {
        Type = PortParameterType.Input
      });

      var evalKspPort = new MessagePort("Evaluate KSP");
      Ports.Add(evalKspPort);
      evalKspPort.Parameters.Add(new PortParameter<BinaryVector>("KnapsackSolution") {
        Type = PortParameterType.Input
      });
      evalKspPort.Parameters.Add(new PortParameter<DoubleValue>("Quality") {
        Type = PortParameterType.Output
      });

      var evalTspPort = new MessagePort("Evaluate TSP");
      Ports.Add(evalTspPort);
      evalTspPort.Parameters.Add(new PortParameter<Permutation>("TSPTour") {
        Type = PortParameterType.Input
      });
      evalTspPort.Parameters.Add(new PortParameter<DoubleValue>("TSPTourLength") {
        Type = PortParameterType.Output
      });

      var addKspSolultionPort = new MessagePort("Add KSP Solution");
      Ports.Add(addKspSolultionPort);
      addKspSolultionPort.Parameters.Add(new PortParameter<KnapsackSolution>("BestSolution") {
        Type = PortParameterType.Input
      });

      var addTspSolutionPort = new MessagePort("Add TSP Solution");
      Ports.Add(addTspSolutionPort);
      addTspSolutionPort.Parameters.Add(new PortParameter<PathTSPTour>("BestSolution") {
        Type = PortParameterType.Input
      });
    }

    private void AddKspSolultionPortOnMessageReceived(object sender, EventArgs<IMessage, CancellationToken> e) {
      var cities = (KnapsackSolution)(e.Value.Values["BestSolution"]).Value;
      AddSelectedCities(cities.BinaryVector);
    }

    private void AddTspSolutionPortOnMessageReceived(object sender, EventArgs<IMessage, CancellationToken> e) {
      var trip = (PathTSPTour)(e.Value.Values["BestSolution"]).Value;
      AddPredefinedTrip(trip.Permutation);
    }

    private void ConfigPortOnMessageReceived(object sender, EventArgs<IMessage, CancellationToken> e) {
      Context.TransportCostFactor = (DoubleValue)(e.Value["TransportCostsFactor"]);
      Context.Coordinates = (DoubleMatrix)(e.Value["Coordinates"]);
      Context.Distances = CalculateEuclidean(Context.Coordinates);
      Context.CityValues = (IntArray)(e.Value["Values"]);
      Context.CityWeights = (IntArray)(e.Value["Weights"]);
      Context.CityLimit = (IntValue)(e.Value["KnapsackCapacity"]);
    }

    private void EvalKspPortOnMessageReceived(object sender, EventArgs<IMessage, CancellationToken> e) {
      var cities = (BinaryVector)(e.Value.Values["KnapsackSolution"]).Value;
      e.Value.Values["Quality"].Value = new DoubleValue(EvaluatePredefinedTrip(cities));
    }

    private void EvalTspPortOnMessageReceived(object sender, EventArgs<IMessage, CancellationToken> e) {
      var trip = (Permutation)(e.Value.Values["TSPTour"]).Value;
      e.Value.Values["TSPTourLength"].Value = new DoubleValue(EvaluateSelectedCities(trip));
    }

    public override void RegisterEvents() {
      base.RegisterEvents();
      ((IMessagePort)Ports["Configure"]).MessageReceived += ConfigPortOnMessageReceived;
      ((IMessagePort)Ports["Evaluate KSP"]).MessageReceived += EvalKspPortOnMessageReceived;
      ((IMessagePort)Ports["Evaluate TSP"]).MessageReceived += EvalTspPortOnMessageReceived;
      ((IMessagePort)Ports["Add KSP Solution"]).MessageReceived += AddKspSolultionPortOnMessageReceived;
      ((IMessagePort)Ports["Add TSP Solution"]).MessageReceived += AddTspSolutionPortOnMessageReceived;

    }
    public override void DeregisterEvents() {
      ((IMessagePort)Ports["Configure"]).MessageReceived -= ConfigPortOnMessageReceived;
      ((IMessagePort)Ports["Evaluate KSP"]).MessageReceived -= EvalKspPortOnMessageReceived;
      ((IMessagePort)Ports["Evaluate TSP"]).MessageReceived -= EvalTspPortOnMessageReceived;
      ((IMessagePort)Ports["Add KSP Solution"]).MessageReceived -= AddKspSolultionPortOnMessageReceived;
      ((IMessagePort)Ports["Add TSP Solution"]).MessageReceived -= AddTspSolutionPortOnMessageReceived;
      base.DeregisterEvents();
    }

    public double EvaluatePredefinedTrip(BinaryVector cities) {
      if (Context.SelectedCities.Count == 0) {
        Context.SelectedCities.Add(cities);
        Context.KspWait.Set();
        Context.TspWait.WaitOne();
      }
      return EvaluateBoth(cities, Context.PredefinedTrip.Last());
    }

    public double EvaluateSelectedCities(Permutation trip) {
      if (Context.PredefinedTrip.Count == 0) {
        Context.PredefinedTrip.Add(trip);
        Context.TspWait.Set();
        Context.KspWait.WaitOne();
      }
      return EvaluateBoth(Context.SelectedCities.Last(), trip);
    }

    public double EvaluateBoth(BinaryVector cities, Permutation trip) {
      var cityValues = cities.Select((v, i) => v ? Context.CityValues[i] : 0).Sum();
      var cityWeights = cities.Select((v, i) => v ? Context.CityWeights[i] : 0).Sum();
      var subtour = trip.Where(x => cities[x]).ToArray();
      var tourLength = 0.0;
      for (var i = 1; i < subtour.Length; i++)
        tourLength += Context.Distances[subtour[i - 1], subtour[i]];
      tourLength += Context.Distances[subtour.Last(), subtour[0]];
      if (cityWeights > Context.CityLimit.Value) // infeasible solution
        return Context.CityLimit.Value - cityWeights - tourLength * Context.TransportCostFactor.Value;
      return cityValues - tourLength * Context.TransportCostFactor.Value;
    }

    public void AddPredefinedTrip(Permutation trip) {
      Context.TspWait.Set();
      Context.KspWait.WaitOne();
      lock (Context.Locker) {
        Context.PredefinedTrip.Add(trip);
      }
    }

    public void AddSelectedCities(BinaryVector cities) {
      Context.KspWait.Set();
      Context.TspWait.WaitOne();
      lock (Context.Locker) {
        Context.SelectedCities.Add(cities);
      }
    }

    public static DoubleMatrix CalculateEuclidean(DoubleMatrix cities) {
      var len = cities.Rows;
      var distances = new DoubleMatrix(len, len);
      for (var i = 0; i < len - 1; i++) {
        var sX = cities[i, 0];
        var sY = cities[i, 1];
        for (var j = i + 1; j < len; j++) {
          var tX = cities[j, 0];
          var tY = cities[j, 1];
          distances[i, j] = Math.Sqrt((sX - tX) * (sX - tX) + (sY - tY) * (sY - tY));
          distances[j, i] = distances[i, j];
        }
      }
      return distances;
    }

  }
}