public RobustOptimisationStudy(string name, Treatment treatment, ExecutableComponent ec, OptimisationTemplate template, string parentName = "")
: base(name, null, null, name, parentName)
{
Treatment = treatment;
StudiedComponent = ec;
var DesignVariables = template.DesignVariables.Select(v => new RobOptDesignVariable {
Name = v.Name
}).ToList();
var Objectives = template.Objectives.Select(o => new RobOptObjective {
Name = o.Name, Type = o.Type
}).ToList();
var Constraints = template.Constraints.Select(c => new RobOptConstraint {
Name = c.Name, Type = c.Type, Value = c.Value
}).ToList();
robOptTemplate = new RobOptTemplate()
{
DesignVariables = DesignVariables, Objectives = Objectives, Constraints = Constraints
};
ColumnNames.Add("ID");
ColumnTypes.Add(DataTypes.INTEGER);
ColumnFormats.Add(0);
ColumnUnits.Add("");
for (int i = 0; i < robOptTemplate.DesignVariables.Count(); i++)
{
string columnHeader = robOptTemplate.DesignVariables[i].Name;
ColumnNames.Add(columnHeader);
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
}
for (int i = 0; i < robOptTemplate.Objectives.Count(); i++)
{
string columnHeader = robOptTemplate.Objectives[i].Name;
// Loss Function
ColumnNames.Add(columnHeader + "LF");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
// Mean
ColumnNames.Add(columnHeader + "mean");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
// Variance
ColumnNames.Add(columnHeader + "var");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
}
for (int i = 0; i < robOptTemplate.Constraints.Count(); i++)
{
string columnHeader = robOptTemplate.Constraints[i].Name;
// Loss Function
ColumnNames.Add(columnHeader + "LF");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
// Mean
ColumnNames.Add(columnHeader + "mean");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
// Variance
ColumnNames.Add(columnHeader + "var");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
}
TableNames.Add("RobOptimAllResults");
TableNames.Add("RobOptimGenResults");
Template = template;
}
//public DOEplusURQStudy(string name, string description, Model worflow, List<Data> factors, List<Data> responses)
public DOEplusURQStudy(string name, string description, List <string> names, Treatment treatment, FullFactorial fullFactorialDOE, WorkflowComponent worflow)
: base(name, description)
{
TreatmentURQ = treatment;
this.names = names; //DOE factors
Treatment = treatment;
StudiedComponent = worflow;
FullFactorialDOE = fullFactorialDOE;
var DesignVariables = new List <RobOptDesignVariable>();
for (int i = 0; i < ((string[, ])(Treatment.input_options.setuplist[0])).GetLength(0); i++)
{
var designVariable = new RobOptDesignVariable
{
Name = ((string[, ])(Treatment.input_options.setuplist[0]))[i, 0]
};
//designVariable.LowerBound = ;
//designVariable.UpperBound = ;
DesignVariables.Add(designVariable);
}
var Objectives = new List <RobOptObjective>();
for (int i = 0; i < ((string[, ])(Treatment.input_options.setuplist[1])).GetLength(0); i++)
{
var objective = new RobOptObjective
{
Name = ((string[, ])(Treatment.input_options.setuplist[1]))[i, 0]
};
if (((string[, ])(Treatment.input_options.setuplist[1]))[i, 2] == "minimise")
{
objective.Type = ObjectiveType.Minimise;
}
else if (((string[, ])(Treatment.input_options.setuplist[1]))[i, 2] == "maximise")
{
objective.Type = ObjectiveType.Maximise;
}
Objectives.Add(objective);
}
var Constraints = new List <RobOptConstraint>();
for (int i = 0; i < ((string[, ])(Treatment.input_options.setuplist[2])).GetLength(0); i++)
{
var constraint = new RobOptConstraint
{
Name = ((string[, ])(Treatment.input_options.setuplist[2]))[i, 0]
};
if (((string[, ])(Treatment.input_options.setuplist[2]))[i, 2] == "<=")
{
constraint.Type = ConstraintType.LessThanOrEqual;
}
else if (((string[, ])(Treatment.input_options.setuplist[2]))[i, 2] == ">=")
{
constraint.Type = ConstraintType.GreatorThanOrEqual;
}
constraint.Value = Convert.ToDouble(((string[, ])(Treatment.input_options.setuplist[2]))[i, 3]);
Constraints.Add(constraint);
}
robOptTemplate = new RobOptTemplate()
{
DesignVariables = DesignVariables, Objectives = Objectives, Constraints = Constraints
};
ColumnNames.Add("ID");
ColumnTypes.Add(DataTypes.INTEGER);
ColumnFormats.Add(0);
ColumnUnits.Add("");
for (int i = 0; i < this.names.Count; i++)
{
string columnHeader = this.names[i];
ColumnNames.Add(columnHeader);
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
}
for (int i = 0; i < robOptTemplate.DesignVariables.Count(); i++)
{
if (!this.names.Contains(robOptTemplate.DesignVariables[i].Name))
{
string columnHeader = robOptTemplate.DesignVariables[i].Name;
ColumnNames.Add(columnHeader);
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
}
}
for (int i = 0; i < robOptTemplate.Objectives.Count(); i++)
{
string columnHeader = robOptTemplate.Objectives[i].Name;
// Loss Function
ColumnNames.Add(columnHeader + "LF");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
// Mean
ColumnNames.Add(columnHeader + "mean");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
// Variance
ColumnNames.Add(columnHeader + "var");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
}
for (int i = 0; i < robOptTemplate.Constraints.Count(); i++)
{
string columnHeader = robOptTemplate.Constraints[i].Name;
// Loss Function
ColumnNames.Add(columnHeader + "LF");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
// Mean
ColumnNames.Add(columnHeader + "mean");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
// Variance
ColumnNames.Add(columnHeader + "var");
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(4);
ColumnUnits.Add("");
}
TableNames.Add("DOE");
}