public override object Clone()
{
Game game = new FlappyBird(Speed, r, EnableGraphics)
{
ControlSize = ControlSize,
posY = posY,
rad = rad,
minPosY = minPosY,
maxPosY = maxPosY,
pipeWidth = pipeWidth,
pipeHeight = pipeHeight,
pipeSpacing = pipeSpacing
};
if (EnableGraphics)
{
(game as FlappyBird).SetPictures();
}
return(game);
}
private void TrainButton_Click(object sender, EventArgs e)
{
int generationSize, proceedToNext, generations, maxScore, gamesToPlay;
double mutationProbability, mutationRate;
if (!int.TryParse(GenerationSize.Text, out generationSize) || generationSize < 1)
{
MessageBox.Show("Generation size must be positive integer.");
return;
}
if (!int.TryParse(ProceedToNext.Text, out proceedToNext) || proceedToNext < 1)
{
MessageBox.Show("Proceed to next size must be positive integer.");
return;
}
if (!int.TryParse(GenerationsCount.Text, out generations) || generations < 1)
{
MessageBox.Show("Maximum count of generations must be positive integer.");
return;
}
if (!int.TryParse(MaxScore.Text, out maxScore) || maxScore < 1)
{
MessageBox.Show("Maximum score must be positive integer.");
return;
}
if (!int.TryParse(GamesToPlay.Text, out gamesToPlay) || gamesToPlay < 1)
{
MessageBox.Show("Games to play must be positive integer.");
return;
}
if (!double.TryParse(MutationProbability.Text, NumberStyles.Any, CultureInfo.InvariantCulture, out mutationProbability) || mutationProbability <= 0 || mutationProbability > 1)
{
MessageBox.Show("Mutation probability must be value between 0 and 1.");
return;
}
if (!double.TryParse(MutationRate.Text, NumberStyles.Any, CultureInfo.InvariantCulture, out mutationRate) || mutationRate <= 0)
{
MessageBox.Show("Mutation rate must be positive value");
return;
}
string[] splittedNeurons = HiddenNeurons.Text.Split(new char[] { ' ' }, StringSplitOptions.RemoveEmptyEntries);
List <int> hiddenNeurons;
try
{
hiddenNeurons = splittedNeurons.Select(x => int.Parse(x)).ToList();
hiddenNeurons.ForEach(x =>
{
if (x < 1)
{
MessageBox.Show("Neurons count in hidden layers must be positive integer");
return;
}
});
}
catch
{
MessageBox.Show("Neurons count in hidden layers must be positive integer");
return;
}
scoreHistory = new List <double>();
GenerationProgress.Maximum = generationSize;
Random r = new Random();
Model defaultModel;
Game etalonGame;
if (GamesComboBox.SelectedItem == GamesComboBox.Items[0])
{
defaultModel = new Model(new NeuralNetwork(4, hiddenNeurons, 1, r), Model.Games.FlappyBird);
etalonGame = new FlappyBird(1, r, false);
}
else
{
MessageBox.Show("Dino is not supported yet");
return;
////defaultModel = new Model(new NeuralNetwork(4, hiddenNeurons, 1, r), Model.Games.FlappyBird);
//etalonGame = new Dino(1, r, false);
}
etalonGame.ControlSize = GameForm.ControlSize;
etalonGame.SetDefaultOptions();
Trainer trainer = new Trainer(defaultModel, etalonGame, generationSize,
proceedToNext, generations, maxScore,
gamesToPlay, mutationProbability, mutationRate, r);
trainer.ModelTested += (obj, value) =>
{
GenerationProgress.Invoke((MethodInvoker)(() =>
{
GenerationProgress.Value = value;
}));
};
trainer.GenerationPassed += GenerationPassed;
TrainButton.Enabled = false;
TrainingParameters.Enabled = false;
thread = new Thread(() => Train(trainer));
thread.Start();
}