private void button3_Click(object sender, EventArgs e)
{
Int32 nodeIncr = (int)numericUpDown3.Value;
Int32 maxNodex = (int)numericUpDown4.Value;
Int32 timeout = (int)numericUpDown5.Value;
BackgroundWorker bw = new BackgroundWorker();
bw.DoWork += (Object o, DoWorkEventArgs a) =>
{
StreamWriter result = new StreamWriter(String.Format("StressTest-{0}.csv", DateTime.Now.Ticks));
RoutingAI.Algorithms.IDistanceAlgorithm <Coordinate> distancealg = new RoutingAI.Algorithms.StraightDistanceAlgorithm();
Random r = new Random();
Coordinate[] data;
Int32 currentNodes = 100;
while (currentNodes < maxNodex)
{
data = new Coordinate[currentNodes];
for (int i = 0; i < data.Length; i++)
{
data[i] = new Coordinate(r.Next(-10000, 10000) / 100.0f, r.Next(-10000, 10000) / 100.0f);
}
Stopwatch sw = new Stopwatch();
sw.Start();
//KMedoidsProcessor<Coordinate> proc = new KMedoidsProcessor<Coordinate>((int)Math.Sqrt(currentNodes), data, distancealg);
IClusteringAlgorithm <Coordinate> proc = new PAMClusteringAlgorithm <Coordinate>(data, (int)Math.Sqrt(currentNodes), distancealg);
proc.Run();
sw.Stop();
result.WriteLine("{0},{1}", currentNodes, sw.ElapsedMilliseconds);
result.Flush();
this.BeginInvoke(new Action(() =>
{
//coordinates = data;
//processor = proc;
//panel1.Invalidate();
lblCurrentResult.Text = String.Format("{0},{1}", currentNodes, sw.ElapsedMilliseconds);
}));
currentNodes += nodeIncr;
}
};
bw.RunWorkerAsync();
}
private void button3_Click(object sender, EventArgs e)
{
Int32 nodeIncr = (int)numericUpDown3.Value;
Int32 maxNodex = (int)numericUpDown4.Value;
Int32 timeout = (int)numericUpDown5.Value;
BackgroundWorker bw = new BackgroundWorker();
bw.DoWork += (Object o, DoWorkEventArgs a) =>
{
StreamWriter result = new StreamWriter(String.Format("StressTest-{0}.csv", DateTime.Now.Ticks));
RoutingAI.Algorithms.IDistanceAlgorithm<Coordinate> distancealg = new RoutingAI.Algorithms.StraightDistanceAlgorithm();
Random r = new Random();
Coordinate[] data;
Int32 currentNodes = 100;
while (currentNodes < maxNodex)
{
data = new Coordinate[currentNodes];
for (int i = 0; i < data.Length; i++)
data[i] = new Coordinate(r.Next(-10000, 10000) / 100.0f, r.Next(-10000, 10000) / 100.0f);
Stopwatch sw = new Stopwatch();
sw.Start();
//KMedoidsProcessor<Coordinate> proc = new KMedoidsProcessor<Coordinate>((int)Math.Sqrt(currentNodes), data, distancealg);
IClusteringAlgorithm<Coordinate> proc = new PAMClusteringAlgorithm<Coordinate>(data, (int)Math.Sqrt(currentNodes), distancealg);
proc.Run();
sw.Stop();
result.WriteLine("{0},{1}", currentNodes, sw.ElapsedMilliseconds);
result.Flush();
this.BeginInvoke(new Action(() =>
{
//coordinates = data;
//processor = proc;
//panel1.Invalidate();
lblCurrentResult.Text = String.Format("{0},{1}", currentNodes, sw.ElapsedMilliseconds);
}));
currentNodes += nodeIncr;
}
};
bw.RunWorkerAsync();
}
