source: branches/2205_OptimizationNetworks/HeuristicLab.Networks.IntegratedOptimization.TravelingThief/3.3/Problems/LootProfitProblem.cs @ 17514

#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.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.BinaryVectorEncoding;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Optimization;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.Binary;
using HeuristicLab.Problems.TravelingSalesman;

namespace HeuristicLab.Networks.IntegratedOptimization.TravelingThief {
  [Item("Loot Profit Problem", "Represents a problem whose objective is to optimize a TTP loot for fixed TTP tour.")]
  [Creatable(CreatableAttribute.Categories.Problems, Priority = 999)]
  [StorableClass]
  public class LootProfitProblem : BinaryProblem {
    public override bool Maximization {
      get { return true; }
    }

    [Storable]
    public TravelingSalesmanProblem Tsp { get; set; }
    [Storable]
    public BinaryKnapsackProblem Ksp { get; set; }
    [Storable]
    public Permutation FixedTspSolution { get; set; }
    [Storable]
    public Dictionary<int, int[]> Availability { get; set; }
    [Storable]
    public double RentingRatio { get; set; }
    [Storable]
    public double MinSpeed { get; set; }
    [Storable]
    public double MaxSpeed { get; set; }

    [StorableConstructor]
    protected LootProfitProblem(bool deserializing) : base(deserializing) { }
    protected LootProfitProblem(LootProfitProblem original, Cloner cloner) : base(original, cloner) {
      Tsp = cloner.Clone(original.Tsp);
      Ksp = cloner.Clone(original.Ksp);
      FixedTspSolution = cloner.Clone(original.FixedTspSolution);
      Availability = original.Availability != null ? original.Availability.ToDictionary(k => k.Key, v => (int[])v.Value.Clone()) : null;
      RentingRatio = original.RentingRatio;
      MinSpeed = original.MinSpeed;
      MaxSpeed = original.MaxSpeed;
    }
    public LootProfitProblem() : base() {
      Encoding.Length = 5;
    }

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

    public override double Evaluate(BinaryVector vector, IRandom random) {
      return TtpUtils.Evaluate(Tsp, FixedTspSolution.ToArray(),
                               Ksp, vector.ToArray(),
                               Availability, RentingRatio, MinSpeed, MaxSpeed);
    }

    public override IEnumerable<Individual> GetNeighbors(Individual individual, IRandom random) {
      while (true) {
        var neighbor = individual.Copy();
        SinglePositionBitflipManipulator.Apply(random, neighbor.BinaryVector());
        yield return neighbor;
      }
    }
  }
}