Ejemplo n.º 1
0
        private void run_main()
        {
            int runtime = 10;
            int total   = 0;

            int[] allt = new int[runtime];



            int populationnum = 1;
            int maxge         = 300000;

            int[][] alllog = new int[runtime][];
            for (int i = 0; i < runtime; i++)
            {
                alllog[i] = new int[maxge];
            }


            int    bestnum         = 0;
            double crossoverrate   = 1;
            double muterate        = 0;
            double inidvi_muterate = 0.98;

            teacher[] population = new teacher[populationnum];
            for (int i = 0; i < populationnum; i++)
            {
                population[i] = new teacher();
            }
            //first init genertation
            OpenFileDialog file = new OpenFileDialog();

            file.ShowDialog();
            //this.label6.Text = file.FileName;
            for (int forlo = 0; forlo < runtime; forlo++)
            {
                population[0].OpenExcel(file.FileName);
                for (int i = 0; i < populationnum; i++)
                {
                    population[i] = new teacher(population[0]);
                }
                for (int i = 0; i < populationnum; i++)
                {
                    population[i].getscore();
                }

                bool isbest    = false;
                int  gecounter = 0;

                int[] scorelist = new int[maxge];

                while (isbest == false)
                {
                    gecounter += 1;

                    //random selection two parents from old generation, generate two chlide, totoal generate N child
                    Random r = new Random();

                    teacher[] new_population = new teacher[populationnum];

                    for (int i = 0; i < populationnum; i += 2)
                    {
                        // int rand_teacher = r.Next(0, population[0].get_teachernum());

                        //int parentsA = r.Next(0, populationnum);
                        //int parentsB = r.Next(0, populationnum);
                        teacher new_popA = new teacher(population[0]);
                        //teacher new_popA = new teacher(population[parentsA]);
                        //teacher new_popB = new teacher(population[parentsB]);

                        //crossover

                        /*
                         * if (r.NextDouble() > crossoverrate)
                         * {
                         * teacher temp = new_popA;
                         * new_popA.crossover(rand_teacher, new_popB.get_sch(rand_teacher));
                         * new_popB.crossover(rand_teacher, temp.get_sch(rand_teacher));
                         * }
                         */
                        new_population[i] = new_popA;
                        //new_population[i + 1] = new_popB;
                    }

                    //Child Mute
                    //for (int i = 0; i < populationnum; i++)
                    for (int i = 0; i < populationnum; i++)
                    {
                        if (r.NextDouble() > muterate)
                        {
                            new_population[i].mute(inidvi_muterate);
                            //population[i].mute(inidvi_muterate);
                        }
                    }
                    //Select N population from old generation and child (top N) into next generation
                    for (int i = 0; i < populationnum; i++)
                    {
                        //new_population[i].getscore();
                        new_population[i].getscore();
                        //Console.WriteLine("pi = " + i.ToString() + "  "+ new_population[i].getscore().ToString());
                    }

                    teacher[] combine_population = new teacher[populationnum * 2];

                    for (int i = 0; i < populationnum; i++)
                    {
                        combine_population[i] = population[i];
                    }
                    for (int i = populationnum; i < populationnum * 2; i++)
                    {
                        combine_population[i] = new_population[i - populationnum];
                    }


                    for (int i = 0; i < populationnum * 2; i++)
                    {
                        combine_population[i].getscore();
                    }



                    for (int i = 0; i < populationnum * 2; i++)
                    {
                        for (int j = i + 1; j < populationnum * 2; j++)
                        {
                            if (combine_population[i].get_score() > combine_population[j].get_score())
                            {
                                teacher temp = new teacher(combine_population[i]);
                                combine_population[i] = new teacher(combine_population[j]);
                                combine_population[j] = temp;
                            }
                        }
                    }


                    for (int i = 0; i < populationnum; i++)
                    {
                        for (int j = i + 1; j < populationnum; j++)
                        {
                            if (combine_population[i].get_score() > combine_population[j].get_score())
                            {
                                teacher temp = new teacher(combine_population[i]);
                                combine_population[i] = new teacher(combine_population[j]);
                                combine_population[j] = temp;
                            }
                        }
                    }


                    for (int i = 0; i < populationnum; i++)
                    {
                        population[i] = new teacher(combine_population[i]);
                    }

                    int bestscore = population[0].getscore();

                    //find the best score (score = 0) or generationcounter = max_generationnumber, break the loop
                    alllog[forlo][gecounter - 1] = bestscore;
                    if (maxge == gecounter || bestscore == bestnum)
                    {
                        isbest = true;
                        population[0].output_csv(1);
                    }
                    //label2.Text = gecounter.ToString();
                    //label3.Text = bestscore.ToString();
                    //Console.WriteLine("ga = " + gecounter.ToString());
                    //Console.WriteLine("bestscore = " + bestscore.ToString());
                    allt[forlo] = bestscore;
                }

                total += allt[forlo];
            }

            string       filePath = "output/alllog_" + DateTime.Now.ToString("MMddyyyyHHmm") + "_result_" + ".csv";
            FileStream   fs       = new FileStream(filePath, FileMode.OpenOrCreate, FileAccess.Write);
            StreamWriter sr       = new StreamWriter(fs, System.Text.Encoding.UTF8);

            for (int i = 0; i < maxge; i++)
            {
                for (int j = 0; j < runtime; j++)
                {
                    //Console.WriteLine("all = " + allt[i].ToString());
                    sr.Write(alllog[j][i] + ",");
                }
                sr.Write("\n");
            }
            sr.Close();
            //Console.WriteLine("avg = " + (total/runtime).ToString());
        }
Ejemplo n.º 2
0
 public Form1()
 {
     InitializeComponent();
     t = new teacher();
 }