#region License Information /* HeuristicLab * Copyright (C) 2002-2010 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Encodings.RealVectorEncoding; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.TestFunctions.Evaluators { [Item("CustomEvaluator", "Evaluates a custom test fuction.")] [StorableClass] public class CustomEvaluator : SingleObjectiveTestFunctionProblemEvaluator { [StorableConstructor] protected CustomEvaluator(bool deserializing) : base(deserializing) { } protected CustomEvaluator(CustomEvaluator original, Cloner cloner) : base(original, cloner) { } public CustomEvaluator() { } public override IDeepCloneable Clone(Cloner cloner) { return new CustomEvaluator(this, cloner); } public override bool Maximization { get { return false; } } public override DoubleMatrix Bounds { get { return new DoubleMatrix(new double[,] { { 0, 5 } }); } } public override double BestKnownQuality { get { return -1; } } public override int MinimumProblemSize { get { return 1; } } public override int MaximumProblemSize { get { return 2; } } public override RealVector GetBestKnownSolution(int dimension) { return new RealVector(dimension); } public override double EvaluateFunction(RealVector point) { if (point[0] < 0 || point[1] < 0) return 0; return Math.Sin(Math.Pow(point[0], point[1])); } } }