1  #region License Information


2  /* HeuristicLab


3  * Copyright (C) 20022018 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 


22  using System;


23  using System.Collections.Generic;


24  using System.Linq;


25  using HeuristicLab.Random;


26 


27  namespace 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 2534 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  }

