#region License Information
/* HeuristicLab
* Copyright (C) 2002-2011 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 System.Threading;
using HeuristicLab.Algorithms.GeneticAlgorithm;
using HeuristicLab.Common;
using HeuristicLab.Data;
using HeuristicLab.Persistence.Default.Xml;
using Microsoft.VisualStudio.TestTools.UnitTesting;
namespace HeuristicLab_33.Tests {
[TestClass]
public class GeneticAlgorithmTest {
public GeneticAlgorithmTest() { }
private TestContext testContextInstance;
///
///Gets or sets the test context which provides
///information about and functionality for the current test run.
///
public TestContext TestContext {
get {
return testContextInstance;
}
set {
testContextInstance = value;
}
}
#region Additional test attributes
//
// You can use the following additional attributes as you write your tests:
//
// Use ClassInitialize to run code before running the first test in the class
// [ClassInitialize()]
// public static void MyClassInitialize(TestContext testContext) { }
//
// Use ClassCleanup to run code after all tests in a class have run
// [ClassCleanup()]
// public static void MyClassCleanup() { }
//
// Use TestInitialize to run code before running each test
// [TestInitialize()]
// public void MyTestInitialize() { }
//
// Use TestCleanup to run code after each test has run
// [TestCleanup()]
// public void MyTestCleanup() { }
//
#endregion
private EventWaitHandle trigger = new AutoResetEvent(false);
private Exception ex;
[TestMethod]
[DeploymentItem(@"GA_TSP.hl")]
public void GeneticAlgorithmPerformanceTest() {
ex = null;
GeneticAlgorithm ga = (GeneticAlgorithm)XmlParser.Deserialize("GA_TSP.hl");
ga.ExceptionOccurred += new EventHandler>(ga_ExceptionOccurred);
ga.Stopped += new EventHandler(ga_Stopped);
ga.SetSeedRandomly.Value = false;
ga.Seed.Value = 0;
ga.Prepare();
ga.Start();
trigger.WaitOne();
if (ex != null) throw ex;
TestContext.WriteLine("Runtime: {0}", ga.ExecutionTime.ToString());
double expectedBestQuality = 12332.0;
double expectedAverageQuality = 13123.2;
double expectedWorstQuality = 14538.0;
double bestQuality = (ga.Results["CurrentBestQuality"].Value as DoubleValue).Value;
double averageQuality = (ga.Results["CurrentAverageQuality"].Value as DoubleValue).Value;
double worstQuality = (ga.Results["CurrentWorstQuality"].Value as DoubleValue).Value;
TestContext.WriteLine("");
TestContext.WriteLine("CurrentBestQuality: {0} (should be {1})", bestQuality, expectedBestQuality);
TestContext.WriteLine("CurrentAverageQuality: {0} (should be {1})", averageQuality, expectedAverageQuality);
TestContext.WriteLine("CurrentWorstQuality: {0} (should be {1})", worstQuality, expectedWorstQuality);
Assert.AreEqual(bestQuality, expectedBestQuality);
Assert.AreEqual(averageQuality, expectedAverageQuality);
Assert.AreEqual(worstQuality, expectedWorstQuality);
}
private void ga_ExceptionOccurred(object sender, EventArgs e) {
ex = e.Value;
}
private void ga_Stopped(object sender, EventArgs e) {
trigger.Set();
}
}
}