#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2017 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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Data;
using HeuristicLab.Problems.GeneralizedQuadraticAssignment;
using HeuristicLab.Problems.GeneralizedQuadraticAssignment.Algorithms.GRASP;
using HeuristicLab.Problems.Instances.CordeauGQAP;
using Microsoft.VisualStudio.TestTools.UnitTesting;

namespace UnitTests {
  [TestClass]
  public class GRASPTest {
    [TestMethod]
    public void TestGraspSolveInstance() {
      var provider = new CordeauGQAPInstanceProvider();
      var instance = provider.LoadData(provider.GetDataDescriptors().Single(x => x.Name == "20-15-35"));
      var gqap = new GQAP();
      gqap.Load(instance);

      var bestQuality = new List<double>();
      for (var i = 0; i < 5; i++) {
        var grasp = new GRASP() {
          Problem = gqap,
          CandidateSizeFactor = 0.5,
          EliteSetSize = 10,
          MaximumCandidateListSize = 10,
          MaximumIterations = 200,
          MaximumLocalSearchIterations = 100,
          MinimumDifference = 4,
          MinimumEliteSetSize = 2,
          OneMoveProbability = 0.5,
          SetSeedRandomly = false,
          Seed = i
        };
        grasp.Start();
        Assert.IsTrue(grasp.ExecutionTime.TotalSeconds < 6);
        bestQuality.Add(((DoubleValue)grasp.Results["BestQuality"].Value).Value);
      }
      // at least one in 10 runs should find the global optimum
      Assert.IsTrue(bestQuality.Count(x => x == gqap.BestKnownQuality) > 0, string.Join("; ", bestQuality));
      CollectionAssert.AreEqual(new double[] { 1471896, 1506076, 1509356, 1511402, 1471896 }, bestQuality);
    }
  }
}