Exemple #1
0
        static void Main(string[] args)
        {
            Random rand     = new Random();
            int    sampSize = 30;

            double[,] results = new double[5, sampSize];

/*
 *          for (int i = 0; i < sampSize; i++)
 *          {
 *              results[0,i] = RandomSearch.Run(1000, rand);
 *              results[1,i] = HillClimbing.Run(1000, rand);
 *              results[2,i] = TabooSearch.Run(1000, rand, 4);
 *              GA ga = new GA(20, 10, 0.05, rand);
 *              results[3,i] = ga.Run(50);
 *              SimulatedAnnealing sa = new SimulatedAnnealing(-1, 2, 6, rand);
 *              results[4,i] = sa.Run(1000, 20, rand);
 *          }
 *
 *          try
 *          {
 *
 *              FileStream fileStream = File.Open("meta_results.txt", FileMode.Create, FileAccess.Write);
 *              StreamWriter fileWriter = new StreamWriter(fileStream);
 *              fileWriter.WriteLine("randSearch;hillClimb;taboo;ga;sa;");
 *
 *              for (int i = 0; i < sampSize; i++)
 *              {
 *                  for (int j = 0; j < 5; j++)
 *                  {
 *                      fileWriter.Write(results[j,i]+";");
 *                  }
 *                  fileWriter.WriteLine("");
 *              }
 *
 *              fileWriter.Flush();
 *              fileWriter.Close();
 *          }
 *          catch (IOException ioe)
 *          {
 *              Console.WriteLine(ioe);
 *          }
 */

            //TSP

            Problem_TSP problem = new Problem_TSP();

            problem.ReadProblem("TSP30.txt");
            GA_TSP ga_tsp;


            for (int i = 0; i < sampSize; i++)
            {
                ga_tsp        = new GA_TSP(50, 0.1, 0.8, rand);
                results[0, i] = ga_tsp.Run(50);

                ga_tsp        = new GA_TSP(50, 0.3, 0.8, rand);
                results[1, i] = ga_tsp.Run(50);

                ga_tsp        = new GA_TSP(50, 0.1, 0.5, rand);
                results[2, i] = ga_tsp.Run(50);

                ga_tsp        = new GA_TSP(25, 0.1, 0.8, rand);
                results[3, i] = ga_tsp.Run(100);

                ga_tsp        = new GA_TSP(100, 0.1, 0.8, rand);
                results[4, i] = ga_tsp.Run(25);
            }

            try
            {
                FileStream   fileStream = File.Open("TSP_results.txt", FileMode.Create, FileAccess.Write);
                StreamWriter fileWriter = new StreamWriter(fileStream);
                fileWriter.WriteLine("basic;highMutProb;lowCrossProb;moreIter;bigPop;");

                for (int i = 0; i < sampSize; i++)
                {
                    for (int j = 0; j < 5; j++)
                    {
                        fileWriter.Write(results[j, i] + ";");
                    }
                    fileWriter.WriteLine("");
                }

                fileWriter.Flush();
                fileWriter.Close();
            }
            catch (IOException ioe)
            {
                Console.WriteLine(ioe);
            }
        }
Exemple #2
0
 public void Evaluate()
 {
     this.fitness = Problem_TSP.Function(solution);
 }