source: stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Physics/FluidDynamics.cs @ 17097

Last change on this file since 17097 was 17097, checked in by mkommend, 2 months ago

#2520: Merged 16565 - 16579 into stable.

File size: 4.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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 FluidDynamics : ArtificialRegressionDataDescriptor {
29    public override string Name { get { return "Flow Psi = V_inf r sin(th) (1 - R²/r²) + G/(2 π) ln(r/R)"; } }
30
31    public override string Description {
32      get {
33        return "A full description of this problem instance is given in: " + Environment.NewLine +
34          "Chen Chen, Changtong Luo, Zonglin Jiang, \"A multilevel block building algorithm for fast " +
35          "modeling generalized separable systems\", Expert Systems with Applications, Volume 109, 2018, " +
36          "Pages 25-34 https://doi.org/10.1016/j.eswa.2018.05.021. " + Environment.NewLine +
37          "Function: Psi = V_inf r sin(th) (1 - R²/r²) + G/(2 π) ln(r/R)" + Environment.NewLine +
38          "with V_inf ∈ [60 m/s, 65 m/s]," + Environment.NewLine +
39          "th ∈ [30°, 40°]," + Environment.NewLine +
40          "r ∈ [0.2m, 0.5m]," + Environment.NewLine +
41          "R ∈ [0.5m, 0.8m]," + Environment.NewLine +
42          "G ∈ [5 m²/s, 10 m²/s]";
43      }
44    }
45
46    protected override string TargetVariable { get { return "Psi"; } }
47    protected override string[] VariableNames { get { return new string[] { "V_inf", "th", "r", "R", "G", "Psi" }; } }
48    protected override string[] AllowedInputVariables { get { return new string[] { "V_inf", "th", "r", "R", "G" }; } }
49    protected override int TrainingPartitionStart { get { return 0; } }
50    protected override int TrainingPartitionEnd { get { return 100; } }
51    protected override int TestPartitionStart { get { return 100; } }
52    protected override int TestPartitionEnd { get { return 200; } }
53
54    public int Seed { get; private set; }
55
56    public FluidDynamics() : this((int)System.DateTime.Now.Ticks) { }
57
58    public FluidDynamics(int seed) {
59      Seed = seed;
60    }
61
62    protected override List<List<double>> GenerateValues() {
63      var rand = new MersenneTwister((uint)Seed);
64
65      List<List<double>> data = new List<List<double>>();
66      var V_inf = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 60.0, 65.0).ToList();
67      var th = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 30.0, 40.0).ToList();
68      var r = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 0.2, 0.5).ToList();
69      var R = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 0.5, 0.8).ToList();
70      var G = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 5, 10).ToList();
71
72      List<double> Psi = new List<double>();
73      data.Add(V_inf);
74      data.Add(th);
75      data.Add(r);
76      data.Add(R);
77      data.Add(G);
78      data.Add(Psi);
79
80      for (int i = 0; i < V_inf.Count; i++) {
81        var th_rad = Math.PI * th[i] / 180.0;
82        double Psi_i = V_inf[i] * r[i] * Math.Sin(th_rad) * (1 - (R[i] * R[i]) / (r[i] * r[i])) +
83                     (G[i] / (2 * Math.PI)) * Math.Log(r[i] / R[i]);
84        Psi.Add(Psi_i);
85      }
86
87      return data;
88    }
89  }
90}
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