[13672] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16057] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[13672] | 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 | using System;
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[13620] | 22 | using System.Collections.Generic;
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[14018] | 23 | using System.Linq;
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[13620] | 24 | using HeuristicLab.Common;
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[13562] | 25 |
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[14111] | 26 | namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
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[13562] | 27 |
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| 28 | /// <summary>
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| 29 | /// Spacing is defined as the standarddeviation of all d[i]
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| 30 | /// where d[i] is the minimum eukildean distance any point has
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| 31 | /// to all OTHER points in the same front
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| 32 | /// </summary>
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[14018] | 33 | public static class Spacing {
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[13562] | 34 |
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[14030] | 35 | public static double Calculate(IEnumerable<double[]> front) {
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| 36 | if (front == null) throw new ArgumentException("Front must not be null.");
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| 37 | if (!front.Any()) throw new ArgumentException("Front must not be empty.");
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[14018] | 38 |
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[14108] | 39 | var points = front.ToList();
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| 40 | var d = new List<double>();
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| 41 |
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| 42 | foreach (double[] r in points) {
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[14018] | 43 | var point = r;
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[14108] | 44 | var otherPoints = points.Where(p => p != point).DefaultIfEmpty(point);
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[14018] | 45 | double dist = Utilities.MinimumDistance(point, otherPoints);
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| 46 | d.Add(dist);
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[13562] | 47 | }
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| 48 |
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[14018] | 49 | return d.StandardDeviationPop();
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[13562] | 50 | }
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| 51 |
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| 52 | }
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| 53 | }
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