private void StartDrawing()
{
string fileName = ChoseFileToLoad();
var crossTypeNumber = this.CrossingMethod.Controls.OfType <RadioButton>().FirstOrDefault(r => r.Checked).TabIndex;
var _fileLoader = new FileLoader(fileName);
DataParser dataParser = new DataParser();
dataParser.ParseDataFromFileStream(_fileLoader.GetFileStream());
var oTTP = new TTP();
oTTP.StartGeneticTTP(Env.POP_SIZE, Env.GENERATION_COUNT, Env.SORT_TYPE, Env.MUT_RATE, crossTypeNumber);
//oTTP._generationFittnesMap;
foreach (KeyValuePair <int, double> pair in oTTP._generationMaxFittnesMap)
{
this.chart1.Series["max"].Points.AddXY(pair.Key, pair.Value);
}
foreach (KeyValuePair <int, double> pair in oTTP._generationMinFittnesMap)
{
this.chart1.Series["min"].Points.AddXY(pair.Key, pair.Value);
}
foreach (KeyValuePair <int, double> pair in oTTP._generationAvgFittnesMap)
{
this.chart1.Series["avg"].Points.AddXY(pair.Key, pair.Value);
}
this.MaxValue.Text = oTTP._bestG.ToString();
this.MinValue.Text = oTTP._worstG.ToString();
}
public void FitFunctionTest()
{
DataContainer container = DataContainer.Instance;
container.Capacity = 6;
container.Dimension = 4;
container.MaxSpeed = 1.5;
container.MinSpeed = 0.6;
City cityA = new City(1, 1, 1);
City cityB = new City(2, 4, 5);
City cityC = new City(3, 8, 2);
City cityD = new City(4, 2, -6);
cityB.ItemsInCity.Add(new Item(1, 8, 3, 2));
cityC.ItemsInCity.Add(new Item(2, 6, 5, 3));
cityD.ItemsInCity.Add(new Item(3, 3, 1, 4));
List <City> cities = new List <City>()
{
cityA, cityB, cityC, cityD
};
DataContainer dc = DataContainer.Instance;
dc._Cities = cities;
SubjectTraveller st = new SubjectTraveller(4, 0.4, cityA);
st.FirstCity = cityA;
st.TripPlan = new City[] { cityB, cityC, cityD };
TTP tsp = new TTP();
double result = tsp.FittnesFunction(st);
Console.WriteLine("Result is {0}", result);
Assert.IsTrue(true);
}
private void SolveTSP()
{
TTP oTSP = new TTP();
oTSP.StartGeneticTTP(Env.POP_SIZE, Env.GENERATION_COUNT, Env.SORT_TYPE, Env.MUT_RATE, 2);
}
