[13672] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16140] | 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 HeuristicLab.Common;
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| 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Encodings.RealVectorEncoding;
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| 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 26 |
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[14111] | 27 | namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
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[13620] | 28 | [Item("ZDT1", "ZDT1 function as defined in http://www.tik.ee.ethz.ch/sop/download/supplementary/testproblems/ [30.11.2015]")]
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| 29 | [StorableClass]
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[13672] | 30 | public class ZDT1 : ZDT {
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[14068] | 31 | protected override double GetBestKnownHypervolume(int objectives) {
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[13620] | 32 | return 120 + 2.0 / 3;
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| 33 | }
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| 34 |
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| 35 | [StorableConstructor]
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| 36 | protected ZDT1(bool deserializing) : base(deserializing) { }
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| 37 | protected ZDT1(ZDT1 original, Cloner cloner) : base(original, cloner) { }
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| 38 | public override IDeepCloneable Clone(Cloner cloner) {
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| 39 | return new ZDT1(this, cloner);
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| 40 | }
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[13672] | 41 |
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[13620] | 42 | public ZDT1() : base() { }
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| 43 |
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| 44 | public override double[] Evaluate(RealVector r) {
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| 45 | double g = 0;
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| 46 | for (int i = 1; i < r.Length; i++) g += r[i];
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| 47 | g = 1.0 + 9.0 * g / (r.Length - 1);
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[13672] | 48 | double f0 = r[0];
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[13620] | 49 | double f1 = g * (1.0 - Math.Sqrt(r[0] / g));
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[13672] | 50 | return new double[] { f0, f1 };
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[13620] | 51 | }
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| 52 | }
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| 53 | }
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