[7849] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
[17246] | 3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
[7849] | 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;
|
---|
[14228] | 25 | using HeuristicLab.Random;
|
---|
[7849] | 26 |
|
---|
| 27 | namespace HeuristicLab.Problems.Instances.DataAnalysis {
|
---|
| 28 | public class NguyenFunctionTwelve : ArtificialRegressionDataDescriptor {
|
---|
| 29 |
|
---|
[8224] | 30 | public override string Name { get { return "Nguyen F12 = x^4 - x³ + y²/2 - y"; } }
|
---|
[7849] | 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
|
---|
[8224] | 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)";
|
---|
[7849] | 39 | }
|
---|
| 40 | }
|
---|
| 41 | protected override string TargetVariable { get { return "Z"; } }
|
---|
[8825] | 42 | protected override string[] VariableNames { get { return new string[] { "X", "Y", "Z" }; } }
|
---|
[7849] | 43 | protected override string[] AllowedInputVariables { get { return new string[] { "X", "Y" }; } }
|
---|
| 44 | protected override int TrainingPartitionStart { get { return 0; } }
|
---|
[8224] | 45 | protected override int TrainingPartitionEnd { get { return 20; } }
|
---|
[9007] | 46 | protected override int TestPartitionStart { get { return 20; } }
|
---|
| 47 | protected override int TestPartitionEnd { get { return 1020; } }
|
---|
[14229] | 48 | public int Seed { get; private set; }
|
---|
[7849] | 49 |
|
---|
[14228] | 50 | public NguyenFunctionTwelve() : this((int)System.DateTime.Now.Ticks) { }
|
---|
| 51 | public NguyenFunctionTwelve(int seed) : base() {
|
---|
| 52 | Seed = seed;
|
---|
| 53 | }
|
---|
[7849] | 54 | protected override List<List<double>> GenerateValues() {
|
---|
| 55 | List<List<double>> data = new List<List<double>>();
|
---|
[14228] | 56 | var rand = new MersenneTwister((uint)Seed);
|
---|
[7849] | 57 |
|
---|
[14228] | 58 | data.Add(ValueGenerator.GenerateUniformDistributedValues(rand.Next(), 1020, 0, 1).ToList());
|
---|
| 59 | data.Add(ValueGenerator.GenerateUniformDistributedValues(rand.Next(), 1020, 0, 1).ToList());
|
---|
| 60 |
|
---|
[7849] | 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];
|
---|
[9007] | 66 | results.Add(Math.Pow(x, 4) - Math.Pow(x, 3) + y * y / 2 - y);
|
---|
[7849] | 67 | }
|
---|
| 68 | data.Add(results);
|
---|
| 69 |
|
---|
| 70 | return data;
|
---|
| 71 | }
|
---|
| 72 | }
|
---|
| 73 | }
|
---|