[7789] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12009] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[7789] | 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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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Encodings.PermutationEncoding;
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| 29 | using HeuristicLab.Optimization.Operators;
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| 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 |
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| 32 | namespace HeuristicLab.Problems.TravelingSalesman {
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| 33 | /// <summary>
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| 34 | /// An operator that relinks paths between traveling salesman solutions.
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| 35 | /// </summary>
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[8319] | 36 | /// <remarks>
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| 37 | /// The operator incrementally assimilates the initiating solution into the guiding solution by correcting edges as needed.
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| 38 | /// </remarks>
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[8327] | 39 | [Item("TSPPathRelinker", "An operator that relinks paths between traveling salesman solutions. The operator incrementally assimilates the initiating solution into the guiding solution by correcting edges as needed.")]
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[7789] | 40 | [StorableClass]
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[8319] | 41 | public sealed class TSPPathRelinker : SingleObjectivePathRelinker {
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[7789] | 42 | [StorableConstructor]
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| 43 | private TSPPathRelinker(bool deserializing) : base(deserializing) { }
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| 44 | private TSPPathRelinker(TSPPathRelinker original, Cloner cloner) : base(original, cloner) { }
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| 45 | public TSPPathRelinker() : base() { }
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| 46 |
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| 47 | public override IDeepCloneable Clone(Cloner cloner) {
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| 48 | return new TSPPathRelinker(this, cloner);
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| 49 | }
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| 50 |
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| 51 | public static ItemArray<IItem> Apply(IItem initiator, IItem guide, PercentValue n) {
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| 52 | if (!(initiator is Permutation) || !(guide is Permutation))
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| 53 | throw new ArgumentException("Cannot relink path because one of the provided solutions or both have the wrong type.");
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| 54 | if (n.Value <= 0.0)
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| 55 | throw new ArgumentException("RelinkingAccuracy must be greater than 0.");
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| 56 |
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| 57 | Permutation v1 = initiator.Clone() as Permutation;
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| 58 | Permutation v2 = guide as Permutation;
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| 59 |
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| 60 | if (v1.Length != v2.Length)
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| 61 | throw new ArgumentException("The solutions are of different length.");
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| 62 |
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| 63 | IList<Permutation> solutions = new List<Permutation>();
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| 64 | for (int i = 0; i < v1.Length; i++)
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| 65 | if (v1[i] != v2[i]) {
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| 66 | var target = v1.Select((x, index) => new { Value = x, ValueIndex = index }).First(x => x.Value == v2[i]);
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| 67 | if (v1[i] != v1[target.ValueIndex]) {
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| 68 | // XOR swap
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| 69 | v1[i] ^= v1[target.ValueIndex];
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| 70 | v1[target.ValueIndex] ^= v1[i];
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| 71 | v1[i] ^= v1[target.ValueIndex];
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| 72 | solutions.Add(v1.Clone() as Permutation);
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| 73 | }
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| 74 | }
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| 75 |
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| 76 | IList<IItem> selection = new List<IItem>();
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| 77 | if (solutions.Count > 0) {
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| 78 | int noSol = (int)(solutions.Count * n.Value);
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| 79 | if (noSol <= 0) noSol++;
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| 80 | double stepSize = (double)solutions.Count / (double)noSol;
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| 81 | for (int i = 0; i < noSol; i++)
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| 82 | selection.Add(solutions.ElementAt((int)((i + 1) * stepSize - stepSize * 0.5)));
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| 83 | }
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| 84 |
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| 85 | return new ItemArray<IItem>(selection);
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| 86 | }
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| 87 |
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| 88 | protected override ItemArray<IItem> Relink(ItemArray<IItem> parents, PercentValue n) {
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| 89 | if (parents.Length != 2)
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| 90 | throw new ArgumentException("The number of parents is not equal to 2.");
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| 91 | return Apply(parents[0], parents[1], n);
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| 92 | }
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| 93 | }
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| 94 | }
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