[7789] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
[11171] | 3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
[7789] | 4 | *
|
---|
| 5 | * This file is part of HeuristicLab.
|
---|
| 6 | *
|
---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
| 8 | * it under the terms of the GNU General Public License as published by
|
---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
| 10 | * (at your option) any later version.
|
---|
| 11 | *
|
---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
| 15 | * GNU General Public License for more details.
|
---|
| 16 | *
|
---|
| 17 | * You should have received a copy of the GNU General Public License
|
---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
| 19 | */
|
---|
| 20 | #endregion
|
---|
| 21 |
|
---|
| 22 | using System;
|
---|
| 23 | using System.Collections.Generic;
|
---|
| 24 | using System.Linq;
|
---|
| 25 | using HeuristicLab.Common;
|
---|
| 26 | using HeuristicLab.Core;
|
---|
| 27 | using HeuristicLab.Data;
|
---|
| 28 | using HeuristicLab.Encodings.PermutationEncoding;
|
---|
| 29 | using HeuristicLab.Optimization.Operators;
|
---|
| 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
| 31 |
|
---|
| 32 | namespace HeuristicLab.Problems.TravelingSalesman {
|
---|
| 33 | /// <summary>
|
---|
| 34 | /// An operator that relinks paths between traveling salesman solutions.
|
---|
| 35 | /// </summary>
|
---|
[8319] | 36 | /// <remarks>
|
---|
| 37 | /// The operator incrementally assimilates the initiating solution into the guiding solution by correcting edges as needed.
|
---|
| 38 | /// </remarks>
|
---|
[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.")]
|
---|
[7789] | 40 | [StorableClass]
|
---|
[8319] | 41 | public sealed class TSPPathRelinker : SingleObjectivePathRelinker {
|
---|
[7789] | 42 | [StorableConstructor]
|
---|
| 43 | private TSPPathRelinker(bool deserializing) : base(deserializing) { }
|
---|
| 44 | private TSPPathRelinker(TSPPathRelinker original, Cloner cloner) : base(original, cloner) { }
|
---|
| 45 | public TSPPathRelinker() : base() { }
|
---|
| 46 |
|
---|
| 47 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
| 48 | return new TSPPathRelinker(this, cloner);
|
---|
| 49 | }
|
---|
| 50 |
|
---|
| 51 | public static ItemArray<IItem> Apply(IItem initiator, IItem guide, PercentValue n) {
|
---|
| 52 | if (!(initiator is Permutation) || !(guide is Permutation))
|
---|
| 53 | throw new ArgumentException("Cannot relink path because one of the provided solutions or both have the wrong type.");
|
---|
| 54 | if (n.Value <= 0.0)
|
---|
| 55 | throw new ArgumentException("RelinkingAccuracy must be greater than 0.");
|
---|
| 56 |
|
---|
| 57 | Permutation v1 = initiator.Clone() as Permutation;
|
---|
| 58 | Permutation v2 = guide as Permutation;
|
---|
| 59 |
|
---|
| 60 | if (v1.Length != v2.Length)
|
---|
| 61 | throw new ArgumentException("The solutions are of different length.");
|
---|
| 62 |
|
---|
| 63 | IList<Permutation> solutions = new List<Permutation>();
|
---|
| 64 | for (int i = 0; i < v1.Length; i++)
|
---|
| 65 | if (v1[i] != v2[i]) {
|
---|
| 66 | var target = v1.Select((x, index) => new { Value = x, ValueIndex = index }).First(x => x.Value == v2[i]);
|
---|
| 67 | if (v1[i] != v1[target.ValueIndex]) {
|
---|
| 68 | // XOR swap
|
---|
| 69 | v1[i] ^= v1[target.ValueIndex];
|
---|
| 70 | v1[target.ValueIndex] ^= v1[i];
|
---|
| 71 | v1[i] ^= v1[target.ValueIndex];
|
---|
| 72 | solutions.Add(v1.Clone() as Permutation);
|
---|
| 73 | }
|
---|
| 74 | }
|
---|
| 75 |
|
---|
| 76 | IList<IItem> selection = new List<IItem>();
|
---|
| 77 | if (solutions.Count > 0) {
|
---|
| 78 | int noSol = (int)(solutions.Count * n.Value);
|
---|
| 79 | if (noSol <= 0) noSol++;
|
---|
| 80 | double stepSize = (double)solutions.Count / (double)noSol;
|
---|
| 81 | for (int i = 0; i < noSol; i++)
|
---|
| 82 | selection.Add(solutions.ElementAt((int)((i + 1) * stepSize - stepSize * 0.5)));
|
---|
| 83 | }
|
---|
| 84 |
|
---|
| 85 | return new ItemArray<IItem>(selection);
|
---|
| 86 | }
|
---|
| 87 |
|
---|
| 88 | protected override ItemArray<IItem> Relink(ItemArray<IItem> parents, PercentValue n) {
|
---|
| 89 | if (parents.Length != 2)
|
---|
| 90 | throw new ArgumentException("The number of parents is not equal to 2.");
|
---|
| 91 | return Apply(parents[0], parents[1], n);
|
---|
| 92 | }
|
---|
| 93 | }
|
---|
| 94 | }
|
---|