public MainForm()
{
InitializeComponent();
//Initialize a test network
testNN = new NN(4, 2, 1, new int[] { 6 });
//Build a test population
pop = new NNPopulation(Params.simulationPopulationSize, Params.neuralNetworkStructure);
//Output the default object test results
richTextBox_simpleOut.Text = getTestDataString();
//Fill the simThread with a default value (not running)
simThread = new Thread(new ThreadStart(runGeneticSimulation));
//No stop is request at the beginning of execution
requestStop = false;
label_totalIterations.Text = "0 Total Iterations, Population Size: " + pop.StartPopulationSize;
comboBox_BreedingType.SelectedIndex = 1;
numIterations = 0;
avgScoreList = new List<double>();
movAvgScoreList = new List<double>();
maxScoreList = new List<double>();
movMaxScoreList = new List<double>();
Series mAvgSeries = new Series("Average Moving Average");
Series avgSeries = new Series("Average");
Series mMaxSeries = new Series("Max Moving Average");
Series maxSeries = new Series("Max");
mAvgSeries.ChartType = SeriesChartType.Spline;
avgSeries.ChartType = SeriesChartType.Line;
mMaxSeries.ChartType = SeriesChartType.Spline;
maxSeries.ChartType = SeriesChartType.Line;
chart.Series.Add(mAvgSeries);
chart.Series.Add(avgSeries);
chart.Series.Add(mMaxSeries);
chart.Series.Add(maxSeries);
}
//This function is a callback for the reset button for the simulation
private void button_reset_Click(object sender, EventArgs e)
{
numIterations = 0;
//Clear the chart
for (int i = 0; i < chart.Series.Count; i++)
chart.Series[i].Points.Clear();
avgScoreList.Clear();
movAvgScoreList.Clear();
maxScoreList.Clear();
movMaxScoreList.Clear();
//Clear the iteration text
label_iteration.Text = "Iteration: ";
//Build a test population
pop = new NNPopulation(Params.simulationPopulationSize, Params.neuralNetworkStructure);
}