#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 HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using HeuristicLab.Persistence.Default.Xml; using HeuristicLab.Selection; using Microsoft.VisualStudio.TestTools.UnitTesting; namespace HeuristicLab.Tests { [TestClass] public class GPMultiplexerSampleTest { private const string SampleFileName = "GP_Multiplexer"; [TestMethod] [TestCategory("Samples.Create")] [TestProperty("Time", "medium")] public void CreateGpMultiplexerSampleTest() { var ga = CreateGpMultiplexerSample(); string path = Path.Combine(SamplesUtils.SamplesDirectory, SampleFileName + SamplesUtils.SampleFileExtension); XmlGenerator.Serialize(ga, path); } [TestMethod] [TestCategory("Samples.Execute")] [TestProperty("Time", "long")] public void RunGpMultiplexerSampleTest() { var osga = CreateGpMultiplexerSample(); osga.SetSeedRandomly.Value = false; SamplesUtils.RunAlgorithm(osga); Assert.AreEqual(1856, SamplesUtils.GetDoubleResult(osga, "BestQuality"), 1E-8); Assert.AreEqual(1784.76, SamplesUtils.GetDoubleResult(osga, "CurrentAverageQuality"), 1E-8); Assert.AreEqual(1536, SamplesUtils.GetDoubleResult(osga, "CurrentWorstQuality"), 1E-8); Assert.AreEqual(66900, SamplesUtils.GetIntResult(osga, "EvaluatedSolutions")); } public static OffspringSelectionGeneticAlgorithm CreateGpMultiplexerSample() { var problem = new HeuristicLab.Problems.GeneticProgramming.Boolean.MultiplexerProblem(); problem.Name = "11-Multiplexer Problem"; problem.Encoding.TreeLength = 50; problem.Encoding.TreeDepth = 50; var osga = new OffspringSelectionGeneticAlgorithm(); osga.Name = "Genetic Programming - Multiplexer 11 Problem"; osga.Description = "A genetic programming algorithm that solves the 11-bit multiplexer problem."; osga.Problem = problem; SamplesUtils.ConfigureOsGeneticAlgorithmParameters (osga, popSize: 100, elites: 1, maxGens: 50, mutationRate: 0.25); osga.MaximumSelectionPressure.Value = 200; return osga; } } }