#region License Information /* HeuristicLab * Copyright (C) 2002-2016 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 HeuristicLab.Encodings.RealVectorEncoding; using Microsoft.VisualStudio.TestTools.UnitTesting; namespace HeuristicLab.Problems.TestFunctions.Tests { /// ///This is a test class for LevyEvaluatorTest and is intended ///to contain all LevyEvaluatorTest Unit Tests /// [TestClass()] public class LevyEvaluatorTest { /// ///A test for EvaluateFunction /// [TestMethod] [TestCategory("Problems.TestFunctions")] [TestProperty("Time", "short")] public void LevyEvaluateFunctionTest() { var privateObject = new PrivateObject(typeof(LevyEvaluator)); RealVector point = null; double expected = (double)privateObject.GetProperty("BestKnownQuality"); double actual; int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); actual = (double)privateObject.Invoke("Evaluate", point); Assert.AreEqual(expected, actual); } } } }