Exemplo n.º 1
0
        private void Button_Click_2(object sender, RoutedEventArgs e)
        {
            FileRead read = new FileRead();

            read.fileread();
            Problem          problem    = read.GetProblem();
            Algorithm        algorithm  = read.GetAlgorithm();
            QualityIndicator indicators = new QualityIndicator(problem, read.Qi);

            NewAlgorithmTest test = new NewAlgorithmTest();

            for (int i = 1; i <= int.Parse(read.Rt); i++)
            {
                // Logger object and file to store log messages
                var logger = Logger.Log;

                var appenders    = logger.Logger.Repository.GetAppenders();
                var fileAppender = appenders[0] as log4net.Appender.FileAppender;
                fileAppender.File = read.DirPath + "/" + read.Al + i + ".log";
                fileAppender.ActivateOptions();

                string filevar = read.DirPath + "/VAR" + i;
                string filefun = read.DirPath + "/FUN" + i;

                FileStream   file      = new FileStream(read.DirPath + "/MOEADnew" + i + ".txt", FileMode.OpenOrCreate, FileAccess.ReadWrite);
                StreamWriter newlogger = new StreamWriter(file);

                // Execute the Algorithm
                long        initTime      = Environment.TickCount;
                SolutionSet population    = test.Mix();
                long        estimatedTime = Environment.TickCount - initTime;

                // Result messages
                logger.Info("Total execution time: " + estimatedTime + "ms");
                logger.Info("Variables values have been writen to file " + filevar);
                newlogger.WriteLine("Total execution time: " + estimatedTime + "ms" + "\n");
                newlogger.WriteLine("Variables values have been writen to file " + filevar + "\n");
                population.PrintVariablesToFile(filevar);
                logger.Info("Objectives values have been writen to file " + filefun);
                population.PrintObjectivesToFile(filefun);
                Console.WriteLine("Time: " + estimatedTime);
                newlogger.WriteLine("Time: " + estimatedTime + "\n");
                Console.ReadLine();
                if (indicators != null)
                {
                    logger.Info("Quality indicators");
                    logger.Info("Hypervolume: " + indicators.GetHypervolume(population));
                    logger.Info("GD         : " + indicators.GetGD(population));
                    logger.Info("IGD        : " + indicators.GetIGD(population));
                    logger.Info("Spread     : " + indicators.GetSpread(population));
                    logger.Info("Epsilon    : " + indicators.GetEpsilon(population));

                    newlogger.WriteLine("Quality indicators");
                    newlogger.WriteLine("Hypervolume: " + indicators.GetHypervolume(population).ToString("F18") + "\n");
                    newlogger.WriteLine("GD         : " + indicators.GetGD(population).ToString("F18") + "\n");
                    newlogger.WriteLine("IGD        : " + indicators.GetIGD(population).ToString("F18") + "\n");
                    newlogger.WriteLine("Spread     : " + indicators.GetSpread(population).ToString("F18") + "\n");
                    newlogger.WriteLine("Epsilon    : " + indicators.GetEpsilon(population).ToString("F18") + "\n");

                    int evaluations = test.GetEvaluations();
                    logger.Info("Speed      : " + evaluations + "     evaluations");
                    newlogger.WriteLine("Speed      : " + evaluations + "     evaluations" + "\n");
                }
                newlogger.Close();
                file.Close();
            }
        }
Exemplo n.º 2
0
        public void MyAlgorithm()
        {
            Problem   problem   = null;  // The problem to solve
            Algorithm algorithm = null;  // The algorithm to use
            Operator  crossover = null;  // Crossover operator
            Operator  mutation  = null;  // Mutation operator
            Operator  selection = null;  // Selection operator

            QualityIndicator indicators; // Object to get quality indicators

            FileRead fileRead = new FileRead();

            fileRead.fileread();
            problem   = fileRead.GetProblem();
            algorithm = fileRead.GetAlgorithm();
            //crossover = fileRead.GetCrossover();
            mutation  = fileRead.GetMutation();
            selection = fileRead.GetSelection();

            // Quality Indicators Operator
            //indicators = new QualityIndicator(problem, "DTLZ1.3D.pf");
            indicators = new QualityIndicator(problem, fileRead.Qi);
            //indicators = new QualityIndicator(problem, "LZ09_F1.pf");

            // Add the operators to the algorithm
            algorithm.AddOperator("crossover", crossover);
            algorithm.AddOperator("mutation", mutation);
            algorithm.AddOperator("selection", selection);

            // Add the indicator object to the algorithm
            algorithm.SetInputParameter("indicators", indicators);

            for (int i = 1; i <= int.Parse(fileRead.Rt); i++)
            {
                // Logger object and file to store log messages
                var logger = Logger.Log;

                var appenders    = logger.Logger.Repository.GetAppenders();
                var fileAppender = appenders[0] as log4net.Appender.FileAppender;
                fileAppender.File = fileRead.DirPath + "/" + fileRead.Al + i + ".log";
                fileAppender.ActivateOptions();

                string filevar = fileRead.DirPath + "/VAR" + i;
                string filefun = fileRead.DirPath + "/FUN" + i;

                FileStream   file      = new FileStream(fileRead.DirPath + "/" + fileRead.Al + "new" + i + ".txt", FileMode.OpenOrCreate, FileAccess.ReadWrite);
                StreamWriter newlogger = new StreamWriter(file);

                // Execute the Algorithm
                long        initTime      = Environment.TickCount;
                SolutionSet population    = algorithm.Execute();
                long        estimatedTime = Environment.TickCount - initTime;

                // Result messages
                logger.Info("Total execution time: " + estimatedTime + "ms");
                logger.Info("Variables values have been writen to file " + filevar);
                newlogger.WriteLine("Total execution time: " + estimatedTime + "ms" + "\n");
                newlogger.WriteLine("Variables values have been writen to file " + filevar + "\n");
                population.PrintVariablesToFile(filevar);
                logger.Info("Objectives values have been writen to file " + filefun);
                population.PrintObjectivesToFile(filefun);
                Console.WriteLine("Time: " + estimatedTime);
                newlogger.WriteLine("Time: " + estimatedTime + "\n");
                Console.ReadLine();
                if (indicators != null)
                {
                    logger.Info("Quality indicators");
                    logger.Info("Hypervolume: " + indicators.GetHypervolume(population));
                    logger.Info("GD         : " + indicators.GetGD(population));
                    logger.Info("IGD        : " + indicators.GetIGD(population));
                    logger.Info("Spread     : " + indicators.GetSpread(population));
                    logger.Info("Epsilon    : " + indicators.GetEpsilon(population));

                    newlogger.WriteLine("Quality indicators");
                    newlogger.WriteLine("Hypervolume: " + indicators.GetHypervolume(population).ToString("F18") + "\n");
                    newlogger.WriteLine("GD         : " + indicators.GetGD(population).ToString("F18") + "\n");
                    newlogger.WriteLine("IGD        : " + indicators.GetIGD(population).ToString("F18") + "\n");
                    newlogger.WriteLine("Spread     : " + indicators.GetSpread(population).ToString("F18") + "\n");
                    newlogger.WriteLine("Epsilon    : " + indicators.GetEpsilon(population).ToString("F18") + "\n");

                    int evaluations = (int)algorithm.GetOutputParameter("evaluations");
                    logger.Info("Speed      : " + evaluations + "     evaluations");
                    newlogger.WriteLine("Speed      : " + evaluations + "     evaluations" + "\n");
                }
                newlogger.Close();
                file.Close();
                algorithm.AddOperator("mutation", mutation);
            }
        }