1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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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 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 |
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28 | namespace HeuristicLab.Problems.DataAnalysis.Benchmarks {
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29 | [Item("Salustowicz function (1d)", "")]
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30 | public class SalustowiczFunctionOneDimensional : RegressionBenchmark {
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31 |
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32 | public SalustowiczFunctionOneDimensional() {
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33 | Name = "Salustowicz function (1d)";
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34 | //TargetVariable = "y";
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35 | //Inputvariables = new Dictionary<string, IntRange>() {
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36 | // {"x", new IntRange(0, 10)}
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37 | //};
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38 | //AmountOfPoints = 4000;
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39 | //TrainingPartition = new IntRange(0, 2667);
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40 | //TestPartition = new IntRange(TrainingPartition.End, AmountOfPoints);
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41 | }
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42 |
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43 | #region cloning
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44 | protected SalustowiczFunctionOneDimensional(SalustowiczFunctionOneDimensional original, Cloner cloner)
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45 | : base(original, cloner) {
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46 | }
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47 |
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48 | public override IDeepCloneable Clone(Cloner cloner) {
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49 | return new SalustowiczFunctionOneDimensional(this, cloner);
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50 | }
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51 | #endregion
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52 |
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53 | protected override double CalculateFunction(Dictionary<string, IList<double>> data, List<string> vars) {
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54 | double x = data[vars.ElementAt(0)].Last();
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55 | return Math.Exp(-x) * Math.Pow(x, 3) * Math.Sin(x) * Math.Cos(x) * (Math.Pow(Math.Sin(x), 2) * Math.Cos(x) - 1);
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56 | }
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57 | }
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58 | }
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