source: branches/HeuristicLab.Analysis.AlgorithmBehavior/Visualization/Program.cs @ 10091

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2013 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 System.Diagnostics;
using System.Linq;
using System.Windows.Forms;
using HeuristicLab.Analysis.AlgorithmBehavior.Analyzers;
using MIConvexHull;

namespace Visualization {
  static class Program {
    /// <summary>
    /// The main entry point for the application.
    /// </summary>
    [STAThread]
    static void Main() {
      Application.EnableVisualStyles();
      Application.SetCompatibleTextRenderingDefault(false);

      int nrOfSamples = 100;
      int sampleSize = 100;
      double[][] inputs = CreateRandomData(nrOfSamples, sampleSize);

      var convAlgData = ConvertPermutationToVertex(inputs);


      Stopwatch watch = new Stopwatch();
      watch.Start();
      var result2 = HyperHull.CalculateUsingSMO(inputs);
      watch.Stop();
      Console.WriteLine("HyperHull: " + watch.ElapsedMilliseconds);
      watch.Restart();
      var result1 = ConvexHull.Create(convAlgData).Points.Select(x => x.Position).ToList();
      watch.Stop();
      Console.WriteLine("MIConvexHull: " + watch.ElapsedMilliseconds);

      int k = 0;
      foreach (var d in result1) {
        bool found = false;
        foreach (var e in result2) {
          int i = 0;
          for (i = 0; i < e.Count(); i++) {
            if (d[i] != e[i]) {
              break;
            }
          }
          if (i == e.Count()) {
            found = true;
            k++;
            break;
          }
        }
      }

      VisualizationForm vis = new VisualizationForm();
      vis.Text = "Ratio: " + k + "/" + result1.Count;
      vis.Inputs = inputs;
      vis.ConvexHull1 = result1;
      vis.ConvexHull2 = result2;
      Application.Run(vis);
    }

    private static List<DefaultVertex> ConvertPermutationToVertex(double[][] data) {
      List<DefaultVertex> result = new List<DefaultVertex>();
      for (int i = 0; i < data.Count(); i++) {
        double[] d = data[i];
        for (int j = 0; j < d.Length; j++) {
          DefaultVertex vertex = new DefaultVertex();
          vertex.Position = d.Select(x => x).ToArray();
          result.Add(vertex);
        }
      }
      return result;
    }

    private static double[][] CreateRandomData(int n, int m) {
      double[][] result = new double[n][];
      Random rand = new Random();

      for (int i = 0; i < n; i++) {
        result[i] = new double[m];
        for (int j = 0; j < m; j++) {
          result[i][j] = (double)rand.Next(1, 240);
        }
      }

      return result;
    }
  }
}