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source: branches/2893_BNLR/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/TestFunctions/ParetoFrontStore.cs

Last change on this file was 15583, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers

File size: 2.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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
21using System;
22using System.Collections.Generic;
23using System.Globalization;
24using System.IO;
25using System.Linq;
26using System.Reflection;
27
28namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
29  internal class ParetoFrontStore {
30    internal static IEnumerable<double[]> GetParetoFront(String filename) {
31      List<double[]> data = new List<double[]>();
32      var assembly = Assembly.GetExecutingAssembly();
33      String ressourcename = typeof(ParetoFrontStore).Namespace + ".TestFunctions." + filename + ".pf";
34
35      //check if file is listed
36      var names = assembly.GetManifestResourceNames();
37      if (!names.Contains(ressourcename)) return null;
38
39      //read from file
40      var ressourceReader = new StreamReader(assembly.GetManifestResourceStream(ressourcename));
41      String s;
42      while ((s = ressourceReader.ReadLine()) != null) {
43        var tokens = s.Split(new char[0], StringSplitOptions.RemoveEmptyEntries);
44        double[] point = new double[tokens.Length];
45        for (int i = 0; i < point.Length; i++) {
46          point[i] = Double.Parse(tokens[i], CultureInfo.InvariantCulture);
47        }
48        data.Add(point);
49      }
50      return data;
51    }
52  }
53}
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