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source: branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Nguyen/NguyenFunctionTwelve.cs @ 18242

Last change on this file since 18242 was 17246, checked in by gkronber, 5 years ago

#2925: merged r17037:17242 from trunk to branch

File size: 3.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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 System;
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Random;
26
27namespace HeuristicLab.Problems.Instances.DataAnalysis {
28  public class NguyenFunctionTwelve : ArtificialRegressionDataDescriptor {
29
30    public override string Name { get { return "Nguyen F12 = x^4 - x³ + y²/2 - y"; } }
31    public override string Description {
32      get {
33        return "Paper: Semantically-based Crossover in Genetic Programming: Application to Real-valued Symbolic Regression" + Environment.NewLine
34        + "Authors: Nguyen Quang Uy · Nguyen Xuan Hoai · Michael O’Neill · R.I. McKay · Edgar Galvan-Lopez" + Environment.NewLine
35        + "Function: F12 = x^4 - x³ + y²/2 - y" + Environment.NewLine
36        + "Fitcases: 20 random points in [0, 1]x[0, 1]" + Environment.NewLine
37        + "Non-terminals: +, -, *, % (protected division), sin, cos, exp, ln(|x|) (protected log)" + Environment.NewLine
38        + "Terminals: only variables (no random constants)";
39      }
40    }
41    protected override string TargetVariable { get { return "Z"; } }
42    protected override string[] VariableNames { get { return new string[] { "X", "Y", "Z" }; } }
43    protected override string[] AllowedInputVariables { get { return new string[] { "X", "Y" }; } }
44    protected override int TrainingPartitionStart { get { return 0; } }
45    protected override int TrainingPartitionEnd { get { return 20; } }
46    protected override int TestPartitionStart { get { return 20; } }
47    protected override int TestPartitionEnd { get { return 1020; } }
48    public int Seed { get; private set; }
49
50    public NguyenFunctionTwelve() : this((int)System.DateTime.Now.Ticks) { }
51    public NguyenFunctionTwelve(int seed) : base() {
52      Seed = seed;
53    }
54    protected override List<List<double>> GenerateValues() {
55      List<List<double>> data = new List<List<double>>();
56      var rand = new MersenneTwister((uint)Seed);
57
58      data.Add(ValueGenerator.GenerateUniformDistributedValues(rand.Next(), 1020, 0, 1).ToList());
59      data.Add(ValueGenerator.GenerateUniformDistributedValues(rand.Next(), 1020, 0, 1).ToList());
60
61      double x, y;
62      List<double> results = new List<double>();
63      for (int i = 0; i < data[0].Count; i++) {
64        x = data[0][i];
65        y = data[1][i];
66        results.Add(Math.Pow(x, 4) - Math.Pow(x, 3) + y * y / 2 - y);
67      }
68      data.Add(results);
69
70      return data;
71    }
72  }
73}
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