private async void btnStart_Click(object sender, EventArgs e)
{
this.btnStart.Text = "Restart!";
Progress <IDNA> progress = new Progress <IDNA>(world => {
//this.UpdateBestFitnessLabels();
this.ipStatus.TransformOrigin.X = -Annealer.StatusGraph.GetWidth();
this.ipStatus.TransformOrigin.Y = -Annealer.StatusGraph.GetHeight();
});
this.btnRestrategize.Enabled = false;
this.btnStart.Enabled = false;
Stopwatch w = Stopwatch.StartNew();
await Task.Factory.StartNew(() => Annealer.Anneal(GetPopulationGenerator(), progress), TaskCreationOptions.LongRunning);
w.Stop();
Debug.WriteLine(w.ElapsedMilliseconds);
this.btnRestrategize.Enabled = true;
this.btnStart.Enabled = true;
this.UpdateBestFitnessLabels();
this.ipStrategy.Refresh();
}
public void TestGenericAnnealer()
{
Debug.WriteLine("Loading cities data for SBC Traveling Salesman Problem analysis");
CitiesData citiesData = new CitiesData(10);
Debug.WriteLine(citiesData.ToString());
Debug.WriteLine("Number of cities = " + citiesData.cities.Length);
Debug.WriteLine("Number of possible paths = " +
citiesData.NumberOfPossiblePaths().ToString("#,###"));
Debug.WriteLine("Best possible solution (shortest path) length = " +
citiesData.ShortestPathLength().ToString("F4"));
var problemDef = new CitiesProblemDef(citiesData);
Annealer<Char[]>.random = new Random(0);
CitiesProblemDef._random = Annealer<Char[]>.random;
var hive = new Annealer<Char[]>(problemDef.GenerateRandomMemoryMatrix,
problemDef.GenerateNeighborMemoryMatrix,
problemDef.MeasureOfQuality,
1000000,0.999);
Debug.WriteLine("\nInitial annealer");
Char[] bestSolution = hive.Solve();
Debug.WriteLine("\nFinal Solution");
Debug.WriteLine(new string(bestSolution));
Debug.WriteLine(hive);
Debug.WriteLine("End annealer demo");
Assert.AreEqual(citiesData.cities, bestSolution);
}
