public static void testInsertion()
{
Simulation si = new Simulation(new SnakeGame(), 50);
ObservationSaver os = new ObservationSaver(si);
os.SavePopulation();
}
private void goButton_Click(object sender, EventArgs e)
{
int runs = getRuns();
int iterations = getIterations();
if (runs == -1 || iterations == -1)
{
return;
}
string[] attributeValues = new string[] {
textBox_populationSize.Text,
textBox_crossoverBredAmount.Text,
textBox_mutateAfterCrossoverAmount.Text,
textBox_mutationRate.Text,
textBox_allowSinglePointCrossover.Text,
textBox_allowTwoPointCrossover.Text,
textBox_allowUniformCrossover.Text,
comboBox_replacementRule.SelectedIndex.ToString(),
textBox_initialMutation.Text,
textBox_initialSimilarity.Text
};
GANNAI.ConfigurationParser confParser = new ConfigurationParser(attributeValues);
double[] c;
while ((c = confParser.getNextConfiguration()) != null)
{
simulation = new Simulation(game, (int)c[0], c[1], c[2], c[3], (int)c[4], (int)c[5], (int)c[6], (int)c[7], c[8], c[9]);
for (int i = 0; i < runs; i++)
{
if (saveToDBButton.Checked)
{
obs = new ObservationSaver(simulation);
}
StartTraining(iterations);
progressBar1.Value = (int)(((confParser.getProgress() * (i + 1)) / runs) * 100);
if (saveToDBButton.Checked)
{
obs.SaveBestBitstring(simulation.GetBest().Chromosome.Bitstring, simulation.GetBest().GetFitness());
}
}
PrintFitnessValues();
visualizeButton.Enabled = true;
generationCountLabel.Text = "Generation No: " + simulation.Population.Generation.ToString();
diversityLabel.Text = "Diversity: " + simulation.Population.MeasureDiversity().ToString();
//System.Console.WriteLine(simulation.Population.GetDiversityMeasurements().ToString());
//foreach(KeyValuePair<string, double> entry in simulation.Population.GetDiversityMeasurements()) {
// Console.WriteLine(String.Format("{0}: {1}", entry.Key, entry.Value));
//}
}
}
