#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 System.Linq;
using HeuristicLab.Algorithms.RAPGA;
using HeuristicLab.Encodings.ScheduleEncoding.JobSequenceMatrix;
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
JobShopSchedulingProblem problem = new JobShopSchedulingProblem();
#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
}
}
}