#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 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;
}
}
}