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source: branches/QAPGenerators/HeuristicLab.Problems.Instances.QAPGenerator/3.3/Descriptors/TaiaQAPInstanceGeneratorDescriptor.cs @ 14704

Last change on this file since 14704 was 14704, checked in by abeham, 7 years ago

#2738: added branch

File size: 1.8 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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
22namespace HeuristicLab.Problems.Instances.QAPGenerator {
23  public sealed class TaiaQAPInstanceGeneratorDescriptor : QAPInstanceGeneratorDescriptor {
24
25    public override string Name {
26      get { return "Tai-a Instances"; }
27    }
28
29    public override string Description {
30      get { return "Generates uniformly distributed random symmetric QAP instances."; }
31    }
32
33    public TaiaQAPInstanceGeneratorDescriptor() {
34      // default ctor should result in a valid configuration
35      N = 6;
36      Seed = 123456789; // Taillard's default seed
37    }
38
39    public override QAPData GetInstance() {
40      double[,] A, B;
41      TaillardQAPInstanceGenerator.GenerateTaia(N, out A, out B, new Bratley(Seed));
42      return new QAPData {
43        Name = "tai" + N.ToString("00") + "a",
44        Description = "Instance generated with TaillardQAPInstanceGenerator.GenerateTaia",
45        Dimension = N,
46        Weights = B,
47        Distances = A
48      };
49    }
50  }
51}
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