public decimal GetValue2ForIndividual(FunctionStruct function1, FunctionStruct function2, List <double> args)
{
var f2 = new Parser(function2.GetFunctionBase(), function2.GetFunctionBody());
f2.SetArguments(args);
return(Decimal.Round(Convert.ToDecimal(f2.GetResult()), 2));
}
public void Calculate(FunctionStruct function1, FunctionStruct function2)
{
var f1 = new Parser(function1.GetFunctionBase(), function1.GetFunctionBody());
var f2 = new Parser(function2.GetFunctionBase(), function2.GetFunctionBody());
f1.SetArguments(_args);
f2.SetArguments(_args);
_f1 = Decimal.Round(Convert.ToDecimal(f1.GetResult()), 2);
_f2 = Decimal.Round(Convert.ToDecimal(f2.GetResult()), 2);
}
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);
}
public Vega(int populationSize, int iterations, double crossingProbability, double mutationProbability,
FunctionStruct function1, FunctionStruct function2, Constraints constraints)
{
_populationSize = populationSize;
_crossingProbability = crossingProbability;
_mutationProbability = mutationProbability;
_function1 = function1;
_function2 = function2;
_constraints = constraints;
_beginingPopulation = new Population();
_iterations = iterations;
}
public void GenerateIndividual(FunctionStruct function1, FunctionStruct function2, List <double> x)
{
_args = x;
var f1 = new Parser(function1.GetFunctionBase(), function1.GetFunctionBody());
var f2 = new Parser(function2.GetFunctionBase(), function2.GetFunctionBody());
f1.SetArguments(x);
f2.SetArguments(x);
var df1 = f1.GetResult();
var df2 = f2.GetResult();
try
{
_f1 = Decimal.Round((df1), 2);
_f2 = Decimal.Round((df2), 2);
}
catch (OverflowException e)
{
MessageBox.Show(df1.ToString() + " | " + df2 + " : " + e);
}
}
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);
}
}