[16264] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
| 3 | * Copyright (C) 2002-2018 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 | class RocketFuelFlow : ArtificialRegressionDataDescriptor {
|
---|
| 29 | public override string Name { get { return "Rocket Fuel Flow f(X) = 4000*x1*x2/sqrt(x3)"; } }
|
---|
| 30 |
|
---|
| 31 | public override string Description {
|
---|
| 32 | get {
|
---|
| 33 | return "A full description of this problem instance is given in the paper: A multilevel block building algorithm for fast modeling generalized separable systems. " + Environment.NewLine +
|
---|
| 34 | "Authors: Chen Chen, Changtong Luo, Zonglin Jiang" + Environment.NewLine +
|
---|
| 35 | "Function: f(X) = 4000*x1*x2/sqrt(x3)" + Environment.NewLine +
|
---|
| 36 | "with x1 in [4,6], x2 in [0.5, 1.5], x3 in [250,260]";
|
---|
| 37 | }
|
---|
| 38 | }
|
---|
| 39 |
|
---|
| 40 | protected override string TargetVariable { get { return "f(X)"; } }
|
---|
| 41 | protected override string[] VariableNames { get { return new string[] { "x1", "x2", "x3", "f(X)" }; } }
|
---|
| 42 | protected override string[] AllowedInputVariables { get { return new string[] { "x1", "x2", "x3" }; } }
|
---|
| 43 | protected override int TrainingPartitionStart { get { return 0; } }
|
---|
| 44 | protected override int TrainingPartitionEnd { get { return 100; } }
|
---|
| 45 | protected override int TestPartitionStart { get { return 100; } }
|
---|
| 46 | protected override int TestPartitionEnd { get { return 200; } }
|
---|
| 47 |
|
---|
| 48 | public int Seed { get; private set; }
|
---|
| 49 |
|
---|
| 50 | public RocketFuelFlow() : this((int)System.DateTime.Now.Ticks) { }
|
---|
| 51 |
|
---|
| 52 | public RocketFuelFlow(int seed) {
|
---|
| 53 | Seed = seed;
|
---|
| 54 | }
|
---|
| 55 |
|
---|
| 56 | protected override List<List<double>> GenerateValues() {
|
---|
| 57 | var rand = new MersenneTwister((uint)Seed);
|
---|
| 58 |
|
---|
| 59 | List<List<double>> data = new List<List<double>>();
|
---|
| 60 | var x1 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 4.0, 6.0).ToList();
|
---|
| 61 | var x2 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 0.5, 1.5).ToList();
|
---|
| 62 | var x3 = ValueGenerator.GenerateUniformDistributedValues(rand.Next(), TestPartitionEnd, 250.0, 260.0).ToList();
|
---|
| 63 |
|
---|
| 64 | List<double> fx = new List<double>();
|
---|
| 65 | data.Add(x1);
|
---|
| 66 | data.Add(x2);
|
---|
| 67 | data.Add(x3);
|
---|
| 68 | data.Add(fx);
|
---|
| 69 |
|
---|
| 70 | for (int i = 0; i < x1.Count; i++) {
|
---|
| 71 | double fxi = 4000 * x1[i] * x2[i] / Math.Sqrt(x3[i]);
|
---|
| 72 | fx.Add(fxi);
|
---|
| 73 | }
|
---|
| 74 |
|
---|
| 75 | return data;
|
---|
| 76 | }
|
---|
| 77 | }
|
---|
| 78 | }
|
---|