private void button_ROP_objective_set_Click(object sender, EventArgs e)
{
// Validity check of data:
double MissingData = 0;
if (textBox_ROP_objective_Prb.Text == "")
{
MessageBox.Show("Please enter desired satisfaction probability value");
MissingData = 1;
}
if (MissingData == 0)
{
//Formulation Option 1:
if (radioButton_ROP_FormulationOption1.Checked == true)
{
UncertaintyObjectiveData = new string[7];
UncertaintyObjectiveData[0] = dataObj.Name;
UncertaintyObjectiveData[1] = Convert.ToString(0);//Coefficient k
if (comboBox_ROP_objective_minmax_FormulationOption1.Text == "To be minimised")
{
UncertaintyObjectiveData[2] = "minimise";
}
else if (comboBox_ROP_objective_minmax_FormulationOption1.Text == "To be maximised")
{
UncertaintyObjectiveData[2] = "maximise";
}
UncertaintyObjectiveData[3] = "0"; //Requested probability - NA
UncertaintyObjectiveData[4] = "None"; //Distributional assumption - NA
UncertaintyObjectiveData[5] = "quantile"; //Metric - NA
if (comboBox_ROP_objective_minmax_FormulationOption1.SelectedItem as string == "To be minimised")
{
var des_set = new OP_Input_set("min", 1.0, "max", 0.0, "desobj", "obj", "Data", dataObj.Name, "k_coeff", UncertaintyObjectiveData[1], "LossFuncSign", UncertaintyObjectiveData[6], "Probability", UncertaintyObjectiveData[3], "Distribution", UncertaintyObjectiveData[4], "Metric", UncertaintyObjectiveData[5]);
options = des_set;
}
else
{
var des_set = new OP_Input_set("min", 1.0, "max", 0.0, "desobj", "obj", "Data", dataObj.Name, "k_coeff", UncertaintyObjectiveData[1], "LossFuncSign", UncertaintyObjectiveData[6], "Probability", UncertaintyObjectiveData[3], "Distribution", UncertaintyObjectiveData[4], "Metric", UncertaintyObjectiveData[5]);
options = des_set;
}
}
//Formulation Option 2:
else if (radioButton_ROP_FormulationOption2.Checked == true)
{
UncertaintyObjectiveData = new string[7];
UncertaintyObjectiveData[0] = dataObj.Name;
UncertaintyObjectiveData[1] = textBox_ROP_FormulationOption2K.Text;//Coefficient k
if (comboBox_ROP_objective_minmax_FormulationOption2.Text == "To be minimised")
{
UncertaintyObjectiveData[2] = "minimise";
}
else if (comboBox_ROP_objective_minmax_FormulationOption2.Text == "To be maximised")
{
UncertaintyObjectiveData[2] = "maximise";
}
UncertaintyObjectiveData[3] = "0"; //Requested probability - NA
UncertaintyObjectiveData[4] = "None"; //Distributional assumption - NA
UncertaintyObjectiveData[5] = "quantile"; //Metric - NA
UncertaintyObjectiveData[6] = comboBox_ROP_FormulationOption2Sign.Text; //Sign in Loss Function
if (comboBox_ROP_objective_minmax_FormulationOption2.SelectedItem as string == "To be minimised")
{
var des_set = new OP_Input_set("min", 1.0, "max", 0.0, "desobj", "obj", "Data", dataObj.Name, "k_coeff", UncertaintyObjectiveData[1], "LossFuncSign", UncertaintyObjectiveData[6], "Probability", UncertaintyObjectiveData[3], "Distribution", UncertaintyObjectiveData[4], "Metric", UncertaintyObjectiveData[5]);
options = des_set;
}
else
{
var des_set = new OP_Input_set("min", 0.0, "max", 1.0, "desobj", "obj", "Data", dataObj.Name, "k_coeff", UncertaintyObjectiveData[1], "LossFuncSign", UncertaintyObjectiveData[6], "Probability", UncertaintyObjectiveData[3], "Distribution", UncertaintyObjectiveData[4], "Metric", UncertaintyObjectiveData[5]);
options = des_set;
}
}
//Formulation Option 3:
else if (radioButton_ROP_FormulationOption3.Checked == true)
{
// Computing the coefficient k:
double coefficient_k = k_calculation(Convert.ToDouble(textBox_ROP_objective_Prb.Text), comboBox_ROP_objective_DstrbnAssmptn.Text);
// Storing variable information:
UncertaintyObjectiveData = new string[7];
UncertaintyObjectiveData[0] = dataObj.Name;
UncertaintyObjectiveData[1] = Convert.ToString(coefficient_k);
if (comboBox_ROP_objective_minmax_FormulationOption3.Text == "To be minimised")
{
UncertaintyObjectiveData[2] = "minimise";
}
else if (comboBox_ROP_objective_minmax_FormulationOption3.Text == "To be maximised")
{
UncertaintyObjectiveData[2] = "maximise";
}
UncertaintyObjectiveData[3] = textBox_ROP_objective_Prb.Text; //Requested probability
UncertaintyObjectiveData[4] = comboBox_ROP_objective_DstrbnAssmptn.Text; //Distributional assumption
UncertaintyObjectiveData[5] = comboBox_ROP_objective_Metric.Text; //Metric
UncertaintyObjectiveData[6] = comboBox_ROP_FormulationOption3Sign.Text; //Sign in Loss Function
if (comboBox_ROP_objective_minmax_FormulationOption3.SelectedItem as string == "To be minimised")
{
var des_set = new OP_Input_set("min", 1.0, "max", 0.0, "desobj", "obj", "Data", dataObj.Name, "k_coeff", UncertaintyObjectiveData[1], "LossFuncSign", UncertaintyObjectiveData[6], "Probability", UncertaintyObjectiveData[3], "Distribution", UncertaintyObjectiveData[4], "Metric", UncertaintyObjectiveData[5]);
options = des_set;
}
else
{
var des_set = new OP_Input_set("min", 0.0, "max", 1.0, "desobj", "obj", "Data", dataObj.Name, "k_coeff", UncertaintyObjectiveData[1], "LossFuncSign", UncertaintyObjectiveData[6], "Probability", UncertaintyObjectiveData[3], "Distribution", UncertaintyObjectiveData[4], "Metric", UncertaintyObjectiveData[5]);
options = des_set;
}
}
}
Close();
}
private void button_ROP_VarSetup_Set_Click(object sender, EventArgs e)
{
// Validity check of data:
double MissingData = 0;
if (textBox_ROP_VarSetup_Prb.Text == "")
{
MessageBox.Show("Please enter satisfaction probability");
MissingData = 1;
}
else if (textBox_ROP_VarSetup_MinVal.Text == "")
{
MessageBox.Show("Please enter lower bound");
MissingData = 1;
}
else if (textBox_ROP_VarSetup_MaxVal.Text == "")
{
MessageBox.Show("Please enter upper bound");
MissingData = 1;
}
else if (textBox_ROP_VarSetup_PDFparameter1.Text == "")
{
if (comboBox_ROP_VarSetup_PDF.Text != "Normal")
{
MessageBox.Show("Please enter first PDF parameter");
MissingData = 1;
}
}
else if (textBox_ROP_VarSetup_PDFparameter2.Text == "")
{
MessageBox.Show("Please enter second PDF parameter");
MissingData = 1;
}
else if (textBox_ROP_VarSetup_PDFparameter3.Text == "")
{
if (comboBox_ROP_VarSetup_PDF.Text == "User defined")
{
MessageBox.Show("Please enter the third PDF parameter");
MissingData = 1;
}
}
if (MissingData == 0)
{
if (comboBox_ROP_VarSetup_PDF.Text == "Normal")
{
textBox_ROP_VarSetup_PDFparameter1.Text = "";
// Computing the central moments according to the chosen PDF:
double IICM = Math.Pow(Convert.ToDouble(textBox_ROP_VarSetup_PDFparameter2.Text), 2); //The variance, not the standard deviation!!!!
double IIICM = 0;
double IVCM = 3;
// Computing the coefficient k:
double x_k = X_k_approximation_Normal_PDF(Convert.ToDouble(textBox_ROP_VarSetup_Prb.Text));
// Defining the robust lower variable bound:
double ROB_LB = Convert.ToDouble(textBox_ROP_VarSetup_MinVal.Text) + Math.Sqrt(IICM) * x_k;
// Defining the robust lower variable bound:
double ROB_UB = Convert.ToDouble(textBox_ROP_VarSetup_MaxVal.Text) - Math.Sqrt(IICM) * x_k;
// Storing variable information:
UncertaintyVariableData = new string[8];
UncertaintyVariableData[0] = dataObj.Name;
UncertaintyVariableData[1] = Convert.ToString(IICM);
UncertaintyVariableData[2] = Convert.ToString(IIICM);
UncertaintyVariableData[3] = Convert.ToString(IVCM);
//UncertaintyVariableData[4] = textBox_ROP_VarSetup_StartVal.Text;
UncertaintyVariableData[5] = Convert.ToString(ROB_LB);
UncertaintyVariableData[6] = Convert.ToString(ROB_UB);
UncertaintyVariableData[7] = textBox_ROP_VarSetup_Prb.Text;
if (ROB_LB >= ROB_UB)
{
MessageBox.Show("Lower bound larger than upper bound. Please revise the provided information.");
}
else
{
var des_set = new OP_Input_set("min", ROB_LB, "max", ROB_UB, "desobj", "des", "Data", dataObj.Name, "Probability", Convert.ToDouble(textBox_ROP_VarSetup_Prb.Text), "Distribution", comboBox_ROP_VarSetup_PDF.Text, "IICM", IICM);
options = des_set;
Close();
}
}
if (comboBox_ROP_VarSetup_PDF.Text == "Triangular")
{
// Getting the parameter values provided by the user:
double d1 = Convert.ToDouble(textBox_ROP_VarSetup_PDFparameter1.Text);
double d2 = Convert.ToDouble(textBox_ROP_VarSetup_PDFparameter2.Text);
double d3 = d1 - d2;
// Computing the central moments:
double IICM = ((d1 + d2) * (d1 + d2) * (1 - (d1 + d3) * (d2 - d3) / ((d1 + d2) * (d1 + d2)))) / 18;
double IIICM = Math.Sqrt(2) / 5 * (d2 - d1 - 2 * d3) * (-2 * d1 - d2 - d3) * (-d1 - 2 * d2 + d3) / Math.Pow(((d1 + d2) * (d1 + d2) * (1 - (d1 + d3) * (d2 - d3) / ((d1 + d2) * (d1 + d2)))), (3.0 / 2.0));
double IVCM = 12.0 / 5;
double LB = Convert.ToDouble(textBox_ROP_VarSetup_MinVal.Text); // Lower variable bound (deterministic)
double UB = Convert.ToDouble(textBox_ROP_VarSetup_MaxVal.Text); // Upper variable bound (deterministic)
// Computing the robust variable bounds distance from the deterministic ones:
double Prb = Convert.ToDouble(textBox_ROP_VarSetup_Prb.Text);
Cursor.Current = Cursors.WaitCursor;
double x_k_minus = StandardTriangularPDF_inv(1 - Prb, d1, d2);
double x_k_plus = StandardTriangularPDF_inv(Prb, d1, d2);
Cursor.Current = Cursors.Default;
// Defining the robust lower variable bound:
double ROB_LB = LB + (d1 - x_k_minus * (d1 + d2));
// Defining the robust upper variable bound:
double ROB_UB = UB - (x_k_plus * (d1 + d2) - d1);
// Storing variable information:
UncertaintyVariableData = new string[8];
UncertaintyVariableData[0] = dataObj.Name;
UncertaintyVariableData[1] = Convert.ToString(IICM);
UncertaintyVariableData[2] = Convert.ToString(IIICM);
UncertaintyVariableData[3] = Convert.ToString(IVCM);
//UncertaintyVariableData[4] = textBox_ROP_VarSetup_StartVal.Text;
UncertaintyVariableData[5] = Convert.ToString(ROB_LB);
UncertaintyVariableData[6] = Convert.ToString(ROB_UB);
UncertaintyVariableData[7] = textBox_ROP_VarSetup_Prb.Text;
if (ROB_LB >= ROB_UB)
{
MessageBox.Show("Lower bound larger than upper bound. Please revise the provided information.");
}
else
{
var des_set = new OP_Input_set("min", ROB_LB, "max", ROB_UB, "desobj", "des", "Data", dataObj.Name, "Probability", Convert.ToDouble(textBox_ROP_VarSetup_Prb.Text), "Distribution", comboBox_ROP_VarSetup_PDF.Text, "Parameter1", d1, "Parameter2", d2);
options = des_set;
Close();
}
}
if (comboBox_ROP_VarSetup_PDF.Text == "Beta")
{
//Temporary:
MessageBox.Show("Work in progress...");
return;
double A = Convert.ToDouble(textBox_ROP_VarSetup_PDFparameter1.Text);
double B = Convert.ToDouble(textBox_ROP_VarSetup_PDFparameter2.Text);
// Computing the central moments according to the chosen PDF:
double IICM = (A + B) / (Math.Pow(A + B, 2) * (A + B + 1)); //Is it the variance or standard deviation? Check!!!
double IIICM = (2 * (B - A) * Math.Sqrt(A + B + 1)) / ((A + B + 2) * Math.Sqrt(A * B));
double IVCM = 3 * (((Math.Pow(A, 2) * (B + 2) + 2 * Math.Pow(B, 2) + A * B * (B - 2)) * (A + B + 1)) / (A * B * (A + B + 2) * (A + B + 3)) - 1);
double LB = Convert.ToDouble(textBox_ROP_VarSetup_MinVal.Text); // Lower variable bound (deterministic)
double UB = Convert.ToDouble(textBox_ROP_VarSetup_MaxVal.Text); // Upper variable bound (deterministic)
// Computing the robust variable bounds distance from the deterministic ones:
double Prb = Convert.ToDouble(textBox_ROP_VarSetup_Prb.Text);
Cursor.Current = Cursors.WaitCursor;
double x_k_minus = BetaCDF_inv(1 - Prb, A, B);
double x_k_plus = BetaCDF_inv(Prb, A, B);
Cursor.Current = Cursors.Default;
// Defining the robust lower variable bound:
double ROB_LB = LB + x_k_minus * (UB - LB);
// Defining the robust upper variable bound:
double ROB_UB = LB + x_k_plus * (UB - LB);
// Storing variable information:
UncertaintyVariableData = new string[8];
UncertaintyVariableData[0] = dataObj.Name;
UncertaintyVariableData[1] = Convert.ToString(IICM);
UncertaintyVariableData[2] = Convert.ToString(IIICM);
UncertaintyVariableData[3] = Convert.ToString(IVCM);
//UncertaintyVariableData[4] = textBox_ROP_VarSetup_StartVal.Text;
UncertaintyVariableData[5] = Convert.ToString(ROB_LB);
UncertaintyVariableData[6] = Convert.ToString(ROB_UB);
UncertaintyVariableData[7] = textBox_ROP_VarSetup_Prb.Text;
if (ROB_LB >= ROB_UB)
{
MessageBox.Show("Lower bound larger than upper bound. Please revise the provided information.");
}
else
{
var des_set = new OP_Input_set("min", ROB_LB, "max", ROB_UB, "desobj", "des", "Data", dataObj.Name, "Probability", Convert.ToDouble(textBox_ROP_VarSetup_Prb.Text), "Distribution", comboBox_ROP_VarSetup_PDF.Text, "Parameter1", A, "Parameter2", B);
options = des_set;
Close();
}
}
if (comboBox_ROP_VarSetup_PDF.Text == "Gamma")
{
MessageBox.Show("Work in progress...");
return;
}
if (comboBox_ROP_VarSetup_PDF.Text == "User defined")
{
// Storing the central moments according to the chosen PDF:
double IICM = Convert.ToDouble(textBox_ROP_VarSetup_PDFparameter1.Text);//The variance, not the standard deviation!!!!
double IIICM = Convert.ToDouble(textBox_ROP_VarSetup_PDFparameter2.Text);
double IVCM = Convert.ToDouble(textBox_ROP_VarSetup_PDFparameter3.Text);
// Checking the second and fourth moments provided are positive:
if (IICM < 0)
{
MessageBox.Show("The second central moment has to be positive");
}
else if (IVCM < 0)
{
MessageBox.Show("The fourth central moment has to be positive");
}
else
{
// Computing the coefficient k:
double Prb = Convert.ToDouble(textBox_ROP_VarSetup_Prb.Text);
string DistrAssumpt = comboBox_ROP_VarSetup_DstrbnAssmptn.Text;
double x_k = K_calculation(Prb, DistrAssumpt);
// Defining the robust lower variable bound:
double ROB_LB = Convert.ToDouble(textBox_ROP_VarSetup_MinVal.Text) + Math.Sqrt(IICM) * x_k;
// Defining the robust lower variable bound:
double ROB_UB = Convert.ToDouble(textBox_ROP_VarSetup_MaxVal.Text) - Math.Sqrt(IICM) * x_k;
// Storing variable information:
UncertaintyVariableData = new string[8];
UncertaintyVariableData[0] = dataObj.Name;
UncertaintyVariableData[1] = Convert.ToString(IICM);
UncertaintyVariableData[2] = Convert.ToString(IIICM);
UncertaintyVariableData[3] = Convert.ToString(IVCM);
//UncertaintyVariableData[4] = textBox_ROP_VarSetup_StartVal.Text;
UncertaintyVariableData[5] = Convert.ToString(ROB_LB);
UncertaintyVariableData[6] = Convert.ToString(ROB_UB);
UncertaintyVariableData[7] = textBox_ROP_VarSetup_Prb.Text;
if (ROB_LB >= ROB_UB)
{
MessageBox.Show("Lower bound larger than upper bound. Please revise the provided information.");
}
else
{
var des_set = new OP_Input_set("min", ROB_LB, "max", ROB_UB, "desobj", "des", "Data", dataObj.Name, "Probability", Convert.ToDouble(textBox_ROP_VarSetup_Prb.Text), "Distribution", comboBox_ROP_VarSetup_PDF.Text, "IICM", IICM, "IIICM", IIICM, "IVCM", IVCM);
options = des_set;
Close();
}
}
}
}
}
