source: branches/GeneralizedQAP/UnitTests/CordeauCrossoverTest.cs @ 15504

#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
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 * (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.Linq;
using System.Threading;
using HeuristicLab.Data;
using HeuristicLab.Problems.GeneralizedQuadraticAssignment;
using HeuristicLab.Problems.Instances.CordeauGQAP;
using HeuristicLab.Random;
using Microsoft.VisualStudio.TestTools.UnitTesting;

namespace UnitTests {
  [TestClass]
  public class CordeauCrossoverTest {
    [TestMethod]
    public void CordeauCrossoverFunctionalityTest() {
      var provider = new CordeauGQAPInstanceProvider();
      var instance = provider.LoadData(provider.GetDataDescriptors().Single(x => x.Name == "20-15-75"));
      var gqap = new GQAP();
      gqap.Load(instance);
      var evaluator = gqap.Evaluator;

      for (int i = 0; i < 100; i++) {
        var random = new MersenneTwister((uint)i);
        var parent1 = GreedyRandomizedSolutionCreator.CreateSolution(random, gqap.ProblemInstance, 100, true, CancellationToken.None);
        var parent2 = GreedyRandomizedSolutionCreator.CreateSolution(random, gqap.ProblemInstance, 100, true, CancellationToken.None);

        try {
          CordeauCrossover.Apply(random, gqap.Maximization,
            parent1,
            new DoubleValue(gqap.Evaluate(parent1)),
            parent2,
            new DoubleValue(gqap.Evaluate(parent2)),
            gqap.ProblemInstance,
            new IntValue(0));
        } catch {
          Assert.Fail("Error during crossover");
        }
      }
    }
  }
}