[14601] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2017 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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[14586] | 22 | using System.Collections.Generic;
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| 23 | using System.Linq;
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[14601] | 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Encodings.BinaryVectorEncoding;
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| 27 | using HeuristicLab.Encodings.PermutationEncoding;
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| 28 | using HeuristicLab.Optimization;
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| 29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 30 | using HeuristicLab.Problems.Binary;
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| 31 | using HeuristicLab.Problems.TravelingSalesman;
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[14586] | 32 |
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[14601] | 33 | namespace HeuristicLab.Networks.IntegratedOptimization.TravelingThief {
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| 34 | [Item("Loot Profit Problem", "Represents a problem whose objective is to optimize a TTP loot for fixed TTP tour.")]
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| 35 | [Creatable(CreatableAttribute.Categories.Problems, Priority = 999)]
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| 36 | [StorableClass]
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| 37 | public class LootProfitProblem : BinaryProblem {
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| 38 | public override bool Maximization {
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| 39 | get { return true; }
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| 40 | }
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| 41 |
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| 42 | [Storable]
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| 43 | public TravelingSalesmanProblem Tsp { get; set; }
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| 44 | [Storable]
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| 45 | public BinaryKnapsackProblem Ksp { get; set; }
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| 46 | [Storable]
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| 47 | public Permutation FixedTspSolution { get; set; }
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| 48 | [Storable]
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[14653] | 49 | public Dictionary<int, int[]> Availability { get; set; }
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[14601] | 50 | [Storable]
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| 51 | public double RentingRatio { get; set; }
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| 52 | [Storable]
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| 53 | public double MinSpeed { get; set; }
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| 54 | [Storable]
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| 55 | public double MaxSpeed { get; set; }
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| 56 |
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| 57 | [StorableConstructor]
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| 58 | protected LootProfitProblem(bool deserializing) : base(deserializing) { }
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| 59 | protected LootProfitProblem(LootProfitProblem original, Cloner cloner) : base(original, cloner) {
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| 60 | Tsp = cloner.Clone(original.Tsp);
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| 61 | Ksp = cloner.Clone(original.Ksp);
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| 62 | FixedTspSolution = cloner.Clone(original.FixedTspSolution);
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[14653] | 63 | Availability = original.Availability != null ? original.Availability.ToDictionary(k => k.Key, v => (int[])v.Value.Clone()) : null;
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[14601] | 64 | RentingRatio = original.RentingRatio;
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| 65 | MinSpeed = original.MinSpeed;
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| 66 | MaxSpeed = original.MaxSpeed;
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| 67 | }
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| 68 | public LootProfitProblem() : base() {
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| 69 | Encoding.Length = 5;
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| 70 | }
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| 71 |
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| 72 | public override IDeepCloneable Clone(Cloner cloner) {
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| 73 | return new LootProfitProblem(this, cloner);
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| 74 | }
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| 75 |
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| 76 | public override double Evaluate(BinaryVector vector, IRandom random) {
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[14604] | 77 | return TtpUtils.Evaluate(Tsp, FixedTspSolution.ToArray(),
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[14629] | 78 | Ksp, vector.ToArray(),
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[14653] | 79 | Availability, RentingRatio, MinSpeed, MaxSpeed);
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[14601] | 80 | }
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| 81 |
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| 82 | public override IEnumerable<Individual> GetNeighbors(Individual individual, IRandom random) {
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| 83 | while (true) {
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| 84 | var neighbor = individual.Copy();
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[14610] | 85 | SinglePositionBitflipManipulator.Apply(random, neighbor.BinaryVector());
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[14601] | 86 | yield return neighbor;
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| 87 | }
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| 88 | }
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[14586] | 89 | }
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| 90 | }
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