#region License Information /* HeuristicLab * Copyright (C) 2002-2018 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Encodings.RealVectorEncoding; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.TestFunctions.MultiObjective { [Item("IHR3", "Testfunction as defined as IHR3 in \"Igel, C., Hansen, N., & Roth, S. (2007). Covariance matrix adaptation for multi-objective optimization. Evolutionary computation, 15(1), 1-28.\" [24.06.16]")] [StorableClass] public class IHR3 : IHR { protected override IEnumerable GetOptimalParetoFront(int objectives) { List res = new List(); for (int i = 0; i <= 500; i++) { RealVector r = new RealVector(objectives); r[0] = 1 / 500.0 * i; res.Add(this.Evaluate(r, objectives)); } return res; } protected override double GetBestKnownHypervolume(int objectives) { return Hypervolume.Calculate(GetOptimalParetoFront(objectives), GetReferencePoint(objectives), GetMaximization(objectives)); } [StorableConstructor] protected IHR3(bool deserializing) : base(deserializing) { } protected IHR3(IHR3 original, Cloner cloner) : base(original, cloner) { } public IHR3() : base() { } public override IDeepCloneable Clone(Cloner cloner) { return new IHR3(this, cloner); } protected override double F1(RealVector y) { return Math.Abs(y[0]); } protected override double F2(RealVector y) { var g = G(y); var d = H(y[0], y) / g; return g * HF(1 - Math.Sqrt(d) - d * Math.Sin(10 * Math.PI * y[0]), y); } protected override double G(RealVector y) { double sum = 0.0; for (int i = 1; i < y.Length; i++) { sum += HG(y[i]); } return 1 + 9 * sum / (y.Length - 1); } } }