source: branches/3043-Regression-Instances-For-Scaling/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/ScalingProblems/ScalingProblemInstanceProvider.cs @ 18060

#region License Information
/* HeuristicLab
 * Copyright (C) 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;
using System.Collections.Generic;
using HeuristicLab.Random;

namespace HeuristicLab.Problems.Instances.DataAnalysis
{
  public class ScalingProblemInstanceProvider : ArtificialRegressionInstanceProvider
  {
    public override string Name
    {
      get { return "Scaling Benchmark Problems"; }
    }
    public override string Description
    {
      get { return ""; }
    }
    public override Uri WebLink
    {
      get { return new Uri("http://www.x.com"); }
    }
    public override string ReferencePublication
    {
      get { return ""; }
    }

    public int Seed { get; private set; }

    public ScalingProblemInstanceProvider() : this((int)DateTime.Now.Ticks) { }
    public ScalingProblemInstanceProvider(int seed) : base()
    {
      Seed = seed;
    }

    public override IEnumerable<IDataDescriptor> GetDataDescriptors()
    {
      List<IDataDescriptor> descriptorList = new List<IDataDescriptor>();
      var rand = new MersenneTwister((uint)Seed);
      descriptorList.Add(new ScalingProblem1(rand.Next()));
      descriptorList.Add(new ScalingProblem2(rand.Next()));
      descriptorList.Add(new ScalingProblem3(rand.Next()));
      descriptorList.Add(new ScalingProblem4(rand.Next()));
      descriptorList.Add(new ScalingProblem5(rand.Next()));
      return descriptorList;
    }
  }
}