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source: branches/2645_ContextAlgorithms/HeuristicLab.Problems.PTSP/3.3/DistanceCalculators/ManhattanDistance.cs @ 17607

Last change on this file since 17607 was 15583, checked in by swagner, 7 years ago

#2640: Updated year of copyrights in license headers

File size: 1.8 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
21
22using HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Problems.Instances;
27
28namespace HeuristicLab.Problems.PTSP {
29  [Item("Manhattan Distance", "Calculates the Manhattan distance.")]
30  [StorableClass]
31  public sealed class ManhattanDistance : DistanceCalculator {
32
33    [StorableConstructor]
34    private ManhattanDistance(bool deserializing) : base(deserializing) { }
35    private ManhattanDistance(ManhattanDistance original, Cloner cloner) : base(original, cloner) { }
36    public ManhattanDistance() { }
37
38    public override IDeepCloneable Clone(Cloner cloner) {
39      return new ManhattanDistance(this, cloner);
40    }
41
42    public override double Calculate(int from, int to, DoubleMatrix coordinates) {
43      return DistanceHelper.GetDistance(DistanceMeasure.Manhattan, coordinates[from, 0], coordinates[from, 1], coordinates[to, 0], coordinates[to, 1]);
44    }
45  }
46}
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