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source: branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Nguyen/NguyenFunctionFive.cs

Last change on this file was 17246, checked in by gkronber, 5 years ago

#2925: merged r17037:17242 from trunk to branch

File size: 3.0 KB
RevLine 
[7849]1#region License Information
2/* HeuristicLab
[17246]3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[7849]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 System;
23using System.Collections.Generic;
24using System.Linq;
25
26namespace HeuristicLab.Problems.Instances.DataAnalysis {
27  public class NguyenFunctionFive : ArtificialRegressionDataDescriptor {
28
[8224]29    public override string Name { get { return "Nguyen F5 = sin(x²)cos(x) - 1"; } }
[7849]30    public override string Description {
31      get {
32        return "Paper: Semantically-based Crossover in Genetic Programming: Application to Real-valued Symbolic Regression" + Environment.NewLine
33        + "Authors: Nguyen Quang Uy · Nguyen Xuan Hoai · Michael O’Neill · R.I. McKay · Edgar Galvan-Lopez" + Environment.NewLine
[8224]34        + "Function: F5 = sin(x²)cos(x) - 1" + Environment.NewLine
35        + "Fitcases: 20 random points in [-1, 1]" + Environment.NewLine
36        + "Non-terminals: +, -, *, % (protected division), sin, cos, exp, ln(|x|) (protected log)" + Environment.NewLine
37        + "Terminals: only variables (no random constants)";
[7849]38      }
39    }
40    protected override string TargetVariable { get { return "Y"; } }
[8825]41    protected override string[] VariableNames { get { return new string[] { "X", "Y" }; } }
[7849]42    protected override string[] AllowedInputVariables { get { return new string[] { "X" }; } }
43    protected override int TrainingPartitionStart { get { return 0; } }
44    protected override int TrainingPartitionEnd { get { return 20; } }
[9007]45    protected override int TestPartitionStart { get { return 20; } }
46    protected override int TestPartitionEnd { get { return 520; } }
[14229]47    public int Seed { get; private set; }
[7849]48
[14228]49    public NguyenFunctionFive() : this((int)System.DateTime.Now.Ticks) { }
50    public NguyenFunctionFive(int seed) : base() {
51      Seed = seed;
52    }
[7849]53    protected override List<List<double>> GenerateValues() {
54      List<List<double>> data = new List<List<double>>();
[14228]55      data.Add(ValueGenerator.GenerateUniformDistributedValues(Seed, 520, -1, 1).ToList());
[7849]56
57      double x;
58      List<double> results = new List<double>();
59      for (int i = 0; i < data[0].Count; i++) {
60        x = data[0][i];
[9007]61        results.Add(Math.Sin(x * x) * Math.Cos(x) - 1);
[7849]62      }
63      data.Add(results);
64
65      return data;
66    }
67  }
68}
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