private void btnSwarms_Click(object sender, EventArgs e)
{
Stopwatch sw = new Stopwatch();
//Creating matrix with points in PList
Matrix X = new Matrix(dataLength, dimenssions);
for (int i = 0; i < PList.Count; i++)
{
X[i, 0] = PList[i].X;
X[i, 1] = PList[i].Y;
}
SwarmSystem ss = null;
sw.Start();
for (int i = 2; i < 6; i++)
{
ss = new SwarmSystem(i);
ss.Initialize(PList, i);
sResults.Add(ss.DoPSO(i, 2, X, pic1));
}
sResults.Sort();
sw.Stop();
Visualization.DrawClusters(pic1, sResults[0].BestList, sResults[0].SwarmId);
MessageBox.Show("Time elapsed to compute (ms): " + sw.ElapsedMilliseconds);
//MessageBox.Show("FIN");
}
private void btnClusters_Click(object sender, EventArgs e)
{
try
{
int clusters = Int32.Parse(txtCluster.Text);
//pic1.Image = null;
if (clusters > 1 && clusters < 6)
{
for (int i = 0; i < sResults.Count; i++)
{
if (sResults[i].SwarmId == clusters)
{
Visualization.DrawClusters(pic1, sResults[i].BestList, sResults[i].SwarmId);
}
}
}
}
catch (Exception)
{
MessageBox.Show("Wrong input.");
}
}
/*
* public double ComputeVariance(double[] data)
* {
* double avg = data.Average();
* double sum = 0;
* foreach (double num in data)
* {
* sum += (num - avg)*(num - avg);
* }
* return sum / data.Length;
* }
*
* public double Gaussian(double num, double mean, double stddev) // 1-D gaussian
* {
* double res = (1 / (stddev * Math.Sqrt(2.0 * Math.PI))) *
* Math.Exp( (-1 * (num - mean) * (num - mean)) / (2 * stddev * stddev));
* return res;
* }
*/
private void btnInitialize_Click(object sender, EventArgs e)
{
PList.Clear();
Random rand = new Random();
double meanx0 = 100;
double meanx1 = 200;
double meanx2 = 325;
double meanx3 = 425;
double meany0 = 75;
double meany1 = 150;
double meany2 = 250;
double meany3 = 350;
double stddevx0 = 40;
double stddevx1 = 70;
double stddevx2 = 80;
double stddevx3 = 60;
double stddevy0 = 60;
double stddevy1 = 80;
double stddevy2 = 80;
double stddevy3 = 85;
int index = 0;
for (int i = 0; i < dataLength / 4; i++)
{
MyPoint pt = new MyPoint();
double rnum = rand.NextDouble();
if (rnum < 0.5)
{
pt.X = (int)(rand.NextDouble() * stddevx0 / 2 + meanx0);
}
else
{
pt.X = (int)(-1 * rand.NextDouble() * stddevx0 / 2 + meanx0);
}
if (rnum < 0.5)
{
pt.Y = (int)(rand.NextDouble() * stddevy0 / 2 + meany0);
}
else
{
pt.Y = (int)(-1 * rand.NextDouble() * stddevy0 / 2 + meany0);
}
index++;
PList.Add(pt);
}
for (int i = 0; i < dataLength / 4; i++)
{
MyPoint pt = new MyPoint();
double rnum = rand.NextDouble();
if (rnum < 0.5)
{
pt.X = (int)(rand.NextDouble() * stddevx1 / 2 + meanx1);
}
else
{
pt.X = (int)(-1 * rand.NextDouble() * stddevx1 / 2 + meanx1);
}
if (rnum < 0.5)
{
pt.Y = (int)(rand.NextDouble() * stddevy1 / 2 + meany1);
}
else
{
pt.Y = (int)(-1 * rand.NextDouble() * stddevy1 / 2 + meany1);
}
index++;
PList.Add(pt);
}
for (int i = 0; i < dataLength / 4; i++)
{
double rnum = rand.NextDouble();
MyPoint pt = new MyPoint();
if (rnum < 0.5)
{
pt.X = (int)(rand.NextDouble() * stddevx2 / 2 + meanx2);
}
else
{
pt.X = (int)(-1 * rand.NextDouble() * stddevx2 / 2 + meanx2);
}
if (rnum < 0.5)
{
pt.Y = (int)(rand.NextDouble() * stddevy2 / 2 + meany2);
}
else
{
pt.Y = (int)(-1 * rand.NextDouble() * stddevy2 / 2 + meany2);
}
PList.Add(pt);
index++;
}
for (int i = 0; i < dataLength / 4; i++)
{
double rnum = rand.NextDouble();
MyPoint pt = new MyPoint();
if (rnum < 0.5)
{
pt.X = (int)(rand.NextDouble() * stddevx3 / 2 + meanx3);
}
else
{
pt.X = (int)(-1 * rand.NextDouble() * stddevx3 / 2 + meanx3);
}
if (rnum < 0.5)
{
pt.Y = (int)(rand.NextDouble() * stddevy3 / 2 + meany3);
}
else
{
pt.Y = (int)(-1 * rand.NextDouble() * stddevy3 / 2 + meany3);
}
index++;
PList.Add(pt);
}
Visualization.DrawPoints(pic1, PList, 0.7);
MessageBox.Show("Data initialized for " + PList.Count + " points");
}
