#region License Information /* HeuristicLab * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using System.Linq; namespace HeuristicLab.Problems.Instances.DataAnalysis { public class KeijzerFunctionFour : ArtificialRegressionDataDescriptor { public override string Name { get { return "Keijzer 4 f(x) = x³ * exp(-x) * cos(x) * sin(x) * (sin(x)² * cos(x) - 1)"; } } public override string Description { get { return "Paper: Improving Symbolic Regression with Interval Arithmetic and Linear Scaling" + Environment.NewLine + "Authors: Maarten Keijzer" + Environment.NewLine + "Function: f(x) = x³ * exp(-x) * cos(x) * sin(x) * (sin(x)² * cos(x) - 1)" + Environment.NewLine + "range(train): x = [0:0.05:10]" + Environment.NewLine + "range(test): x = [0.05:0.05:10.05]" + Environment.NewLine + "Function Set: x + y, x * y, 1/x, -x, sqrt(x)" + Environment.NewLine + "Note: {exp, log, sin, cos}, 100000 evals"; } } protected override string TargetVariable { get { return "F"; } } protected override string[] VariableNames { get { return new string[] { "X", "F" }; } } protected override string[] AllowedInputVariables { get { return new string[] { "X" }; } } protected override int TrainingPartitionStart { get { return 0; } } protected override int TrainingPartitionEnd { get { return 201; } } protected override int TestPartitionStart { get { return 201; } } protected override int TestPartitionEnd { get { return 402; } } protected override List> GenerateValues() { List> data = new List>(); data.Add(ValueGenerator.GenerateSteps(0, 10, 0.05).ToList()); data[0].AddRange(ValueGenerator.GenerateSteps(0.05, 10.05, 0.05)); double x; List results = new List(); for (int i = 0; i < data[0].Count; i++) { x = data[0][i]; results.Add(Math.Pow(x, 3) * Math.Exp(-x) * Math.Cos(x) * Math.Sin(x) * (Math.Pow(Math.Sin(x), 2) * Math.Cos(x) - 1)); } data.Add(results); return data; } } }