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 |
|
---|
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 RocketFuelFlow : ArtificialRegressionDataDescriptor {
|
---|
29 | public override string Name { get { return "Rocket Fuel Flow m_dot = p0 A / sqrt(T0) * sqrt(γ/R (2/(γ+1))^((γ+1) / (γ-1)))"; } }
|
---|
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: m_dot = p0 A / sqrt(T0) * sqrt(γ/R (2/(γ+1))^((γ+1) / (γ-1)))" + Environment.NewLine +
|
---|
38 | "with p0 ∈ [4e5 Pa, 6e5 Pa]," + Environment.NewLine +
|
---|
39 | "A ∈ [0.5m², 1.5m²]," + Environment.NewLine +
|
---|
40 | "T0 ∈ [250°K, 260°K]," + Environment.NewLine +
|
---|
41 | "γ=1.4 and R=287 J/(kg*K)" + Environment.NewLine +
|
---|
42 | "The factor sqrt(γ/R (2/(γ+1))^((γ+1) / (γ-1))) is constant as γ and R are constants.";
|
---|
43 | }
|
---|
44 | }
|
---|
45 |
|
---|
46 | protected override string TargetVariable { get { return "m_dot"; } }
|
---|
47 | protected override string[] VariableNames { get { return new string[] { "p0", "A", "T0", "m_dot" }; } }
|
---|
48 | protected override string[] AllowedInputVariables { get { return new string[] { "p0", "A", "T0" }; } }
|
---|
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 RocketFuelFlow() : this((int)System.DateTime.Now.Ticks) { }
|
---|
57 |
|
---|
58 | public RocketFuelFlow(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 p0 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 4.0e5, 6.0e5).ToList();
|
---|
67 | var A = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 0.5, 1.5).ToList();
|
---|
68 | var T0 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 250.0, 260.0).ToList();
|
---|
69 |
|
---|
70 | List<double> m_dot = new List<double>();
|
---|
71 | data.Add(p0);
|
---|
72 | data.Add(A);
|
---|
73 | data.Add(T0);
|
---|
74 | data.Add(m_dot);
|
---|
75 | double R = 287.0;
|
---|
76 | double γ = 1.4;
|
---|
77 | var c = Math.Sqrt(γ / R * Math.Pow(2 / (γ + 1), (γ + 1) / (γ - 1)));
|
---|
78 | for (int i = 0; i < p0.Count; i++) {
|
---|
79 | double m_dot_i = p0[i] * A[i] / Math.Sqrt(T0[i]) * c;
|
---|
80 | m_dot.Add(m_dot_i);
|
---|
81 | }
|
---|
82 |
|
---|
83 | return data;
|
---|
84 | }
|
---|
85 | }
|
---|
86 | }
|
---|