private void button1_Click(object sender, EventArgs e)
{
FunctionStruct functionStruct1 = new FunctionStruct(comboBox1.SelectedItem.ToString(), func1.Text);
FunctionStruct functionStruct2 = new FunctionStruct(comboBox1.SelectedItem.ToString(), func2.Text);
Population nonDominatedPopulation = new Population();
//chart2.Visible = false;
chart1.Series["Series1"].Points.Clear();
chart2.Series["Series1"].Points.Clear();
//chart1.ChartAreas[0].AxisX.RoundAxisValues();
dataGridView1.Rows.Clear();
int lo = 0;
int up = 0;
int[] lotab = new int[comboBox1.SelectedIndex + 1];
int[] uptab = new int[comboBox1.SelectedIndex + 1];
for (int i = 0; i <= comboBox1.SelectedIndex; i++)
{
switch (i)
{
case 0:
lo = int.Parse(tbL1.Text);
up = int.Parse(tbU1.Text);
break;
case 1:
lo = int.Parse(tbL2.Text);
up = int.Parse(tbU2.Text);
break;
case 2:
lo = int.Parse(tbL3.Text);
up = int.Parse(tbU3.Text);
break;
case 3:
lo = int.Parse(tbL4.Text);
up = int.Parse(tbU4.Text);
break;
case 4:
lo = int.Parse(tbL5.Text);
up = int.Parse(tbU5.Text);
break;
}
lotab[i] = lo;
uptab[i] = up;
}
Constraints constraints = new Constraints(lotab, uptab);
Vega vega = new Vega(int.Parse(popSize.Text), int.Parse(iterations.Text),
Double.Parse(crossingPb.Text, CultureInfo.InvariantCulture),
Double.Parse(mutationPb.Text, CultureInfo.InvariantCulture), functionStruct1, functionStruct2,
constraints);
vega.Initialization();
var result = vega.Iterate();
var index = 0;
if (result.GetIndividual(0).GetFitness2() < result.GetIndividual(1).GetFitness2())
{
nonDominatedPopulation.Add(result.GetIndividual(0));
}
else
{
nonDominatedPopulation.Add(result.GetIndividual(1));
index = 1;
}
result.SortF1();
chart2.Series["Series1"].ChartType = SeriesChartType.Point;
for (var i = 0; i < result.Size(); i++)
{
chart2.Series["Series1"].Points.AddXY(result.GetIndividual(i).GetFitness1(),
result.GetIndividual(i).GetFitness2());
}
for (var i = 1; i < result.Size(); i++)
{
if (result.GetIndividual(i).GetFitness2() < nonDominatedPopulation.GetIndividual(nonDominatedPopulation.Size() - 1).GetFitness2())
{
nonDominatedPopulation.Add(result.GetIndividual(i));
}
}
if (nonDominatedPopulation.GetIndividual(0).GetFitness1() > nonDominatedPopulation.GetIndividual(1).GetFitness1())
{
nonDominatedPopulation.DeleteIndividual(0);
}
chart1.Series["Series1"].ChartType = SeriesChartType.Point;
for (var i = 0; i < nonDominatedPopulation.Size(); i++)
{
string[] mystring = new string[] { "", "", "", "", "", "", "" };
chart1.Series["Series1"].Points.AddXY(nonDominatedPopulation.GetIndividual(i).GetFitness1(),
nonDominatedPopulation.GetIndividual(i).GetFitness2());
mystring[0] = nonDominatedPopulation.GetIndividual(i).GetFitness1().ToString();
mystring[1] = nonDominatedPopulation.GetIndividual(i).GetFitness2().ToString();
for (var j = 0; j < nonDominatedPopulation.GetIndividual(i).GetArgsVector().Count; j++)
{
mystring[j + 2] = Math.Round(nonDominatedPopulation.GetIndividual(i).GetArgsVector()[j], 3).ToString();
}
dataGridView1.Rows.Add(mystring);
}
}
public List <Individual> GeneratePopulationOfSize(FunctionStruct function1, FunctionStruct function2, Constraints constraints, int N)
{
for (var i = 0; i < N; i++)
{
var args = constraints.GenerateArguments();
var individual = new Individual();
individual.GenerateIndividual(function1, function2, args);
_population.Add(individual);
}
return(_population);
}
