#region License Information /* HeuristicLab * Copyright (C) 2002-2015 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.IO; using System.Linq; using HeuristicLab.Algorithms.RAPGA; using HeuristicLab.Encodings.ScheduleEncoding; using HeuristicLab.Persistence.Default.Xml; using HeuristicLab.Problems.Scheduling; using Microsoft.VisualStudio.TestTools.UnitTesting; namespace HeuristicLab.Tests { [TestClass] public class RAPGASchedulingSampleTest { private const string SampleFileName = "RAPGA_JSSP"; [TestMethod] [TestCategory("Samples.Create")] [TestProperty("Time", "medium")] public void CreateRAPGASchedulingSampleTest() { var ss = CreateRAPGASchedulingSample(); string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension); XmlGenerator.Serialize(ss, path); } [TestMethod] [TestCategory("Samples.Execute")] [TestProperty("Time", "long")] public void RunRAPGASchedulingSampleTest() { var rapga = CreateRAPGASchedulingSample(); rapga.SetSeedRandomly.Value = false; SamplesUtils.RunAlgorithm(rapga); Assert.AreEqual(988.00, SamplesUtils.GetDoubleResult(rapga, "BestQuality")); Assert.AreEqual(988.00, SamplesUtils.GetDoubleResult(rapga, "CurrentAverageQuality")); Assert.AreEqual(988.00, SamplesUtils.GetDoubleResult(rapga, "CurrentWorstQuality")); Assert.AreEqual(27100, SamplesUtils.GetIntResult(rapga, "EvaluatedSolutions")); } private RAPGA CreateRAPGASchedulingSample() { #region Problem Configuration var problem = new JobShopSchedulingProblemNew(); #endregion #region Algorithm Configuration RAPGA rapga = new RAPGA(); rapga.Engine = new SequentialEngine.SequentialEngine(); rapga.Name = "RAPGA - Job Shop Scheduling"; rapga.Description = "A relevant alleles preserving genetic algorithm which solves a job shop scheduling problem"; rapga.Problem = problem; rapga.Mutator = rapga.MutatorParameter.ValidValues.OfType().First(); rapga.Seed.Value = 0; return rapga; #endregion } } }