/// <summary>
/// Add the values of the current generation to the csv file.
/// </summary>
private void AddStatsOfCurrentGenerationToBench()
{
// Get fitnesses for each car
var carFitnesses = new List <float>(PopulationSize);
var carSizes = new List <float>(PopulationSize);
foreach (var dna in GeneticAglorithm.PreviousPopulation) // Previous population is current generation.
{
carFitnesses.Add(dna.Fitness);
}
foreach (var car in Cars)
{
carSizes.Add(GetCarArea(car.GetComponent <Car>()));
}
// Get best car.
var bestCar = Cars[GeneticAglorithm.BestFitnessIndex].GetComponent <Car>();
BenchData.CarData bestCarData = new BenchData.CarData();
bestCarData.Speed = bestCar.Speed;
bestCarData.TotalArea = GetCarArea(bestCar);
// Populate bench data
var benchData = new BenchData();
benchData.Generation = GeneticAglorithm.Generation;
benchData.CarFitnesses = carFitnesses.ToArray();
benchData.CarSizes = carSizes.ToArray();
benchData.BestCarOfGeneration = bestCarData;
// Store it for later use
BenchData.Add(benchData);
}
private void WriteTextSafe(BenchData data)
{
if (textBox1.InvokeRequired)
{
var d = new SafeCallDelegate(WriteTextSafe);
textBox1.Invoke(d, new object[] { data });
}
else
{
benchDatas.Add(data);
textBox1.AppendText(string.Format("{0} {1}: {2}Мб/с{3}",
data.type, data.mode.Replace(Environment.NewLine, " "), data.speed, Environment.NewLine));
if (radioButton1.Checked)
{
dataTable.Rows
.Find(data.mode)[data.type] = data.speed;
}
else
{
float maxSpeed = benchDatas
.FindAll(x => x.mode.Equals(data.mode))
.Max(y => y.speed);
benchDatas
.Where(x => x.mode.Equals(data.mode))
.ToList()
.ForEach(y =>
dataTable.Rows
.Find(y.mode)[y.type] = y.speed * 100 / maxSpeed
);
}
chart.DataBind();
}
}