public FullFactorialDOEStudy(string name, string description, WorkflowComponent workflow, List <Data> factors, List <decimal> startingValues, List <decimal> stepSizes, List <int> noOfLevels, List <Data> responses)
: base(name, description, workflow, factors, responses)
{
base.StudiedComponent = workflow;
this.startingValues = startingValues;
this.stepSizes = stepSizes;
this.noOfLevels = noOfLevels;
ColumnNames.Add("ID");
ColumnTypes.Add(DataTypes.INTEGER);
ColumnFormats.Add(0);
ColumnUnits.Add("");
for (int i = 0; i < factors.Count; i++)
{
string columnHeader = factors[i].Name;
ColumnNames.Add(columnHeader);
if (factors[i] is IntegerData)
{
ColumnTypes.Add(DataTypes.INTEGER);
ColumnFormats.Add(0);
ColumnUnits.Add(((IntegerData)factors[i]).Unit);
}
else if (factors[i] is DoubleData)
{
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(((DoubleData)factors[i]).DecimalPlaces);
ColumnUnits.Add(((DoubleData)factors[i]).Unit);
}
}
for (int i = 0; i < responses.Count; i++)
{
string columnHeader = responses[i].Name;
ColumnNames.Add(columnHeader);
if (responses[i] is IntegerData)
{
ColumnTypes.Add(DataTypes.INTEGER);
ColumnFormats.Add(0);
ColumnUnits.Add(((IntegerData)responses[i]).Unit);
}
else if (responses[i] is DoubleData)
{
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(((DoubleData)responses[i]).DecimalPlaces);
ColumnUnits.Add(((DoubleData)responses[i]).Unit);
}
}
TableNames.Add(Name);
Treatment = new FullFactorial("testFF", "", Project.ProjectPath + "\\DOE.sdf", workflow as Workflow, factors, startingValues, stepSizes, noOfLevels, responses);
Treatment.CreateFolder();
}
public DetOptStudy(string name, string description, string parentName = "")
: base(name, null, null, description, parentName)
{
// Create SQL statements to create tables, sqlStatement1 for OptimAllResults and sqlStatement2 for OptimGenResults
sqlStatement1 = "create table OptimAllResults (";
sqlStatement2 = "create table OptimGenResults (";
sqlStatement1 += "ID int, ";
sqlStatement2 += "ID int, Category int, ";
#region Atif
// Prepare results database
foreach (var designVariable in OptimisationTemplate.DesignVariables)
{
string columnHeader = designVariable.Name;
ColumnNames.Add(columnHeader);
sqlStatement1 += columnHeader + " ";
sqlStatement2 += columnHeader + " ";
if (designVariable.Data is IntegerData)
{
ColumnTypes.Add(DataTypes.INTEGER);
ColumnFormats.Add(0);
sqlStatement1 += "int, ";
sqlStatement2 += "int, ";
}
else if (designVariable.Data is DoubleData)
{
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(((DoubleData)(designVariable.Data)).DecimalPlaces);
sqlStatement1 += "float, ";
sqlStatement2 += "float, ";
}
ColumnUnits.Add(designVariable.Data.Unit);
MinValues.Add(designVariable.LowerBound);
MaxValues.Add(designVariable.UpperBound);
}
foreach (Objective objective in OptimisationTemplate.Objectives)
{
string columnHeader = objective.Name;
ColumnNames.Add(columnHeader);
sqlStatement1 += columnHeader + " ";
sqlStatement2 += columnHeader + " ";
if (objective.Data is IntegerData)
{
ColumnTypes.Add(DataTypes.INTEGER);
ColumnFormats.Add(0);
sqlStatement1 += "int, ";
sqlStatement2 += "int, ";
}
else if (objective.Data is DoubleData)
{
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(((DoubleData)(objective.Data)).DecimalPlaces);
sqlStatement1 += "float, ";
sqlStatement2 += "float, ";
}
ColumnUnits.Add(objective.Data.Unit);
MinValues.Add(Double.NaN);
MaxValues.Add(Double.NaN);
}
foreach (Aircadia.ObjectModel.Treatments.Optimisers.Formulation.Constraint constraint in OptimisationTemplate.Constraints)
{
string columnHeader = constraint.Name;
ColumnNames.Add(columnHeader);
sqlStatement1 += columnHeader + " ";
sqlStatement2 += columnHeader + " ";
if (constraint.Data is IntegerData)
{
ColumnTypes.Add(DataTypes.INTEGER);
ColumnFormats.Add(0);
sqlStatement1 += "int, ";
sqlStatement2 += "int, ";
}
else if (constraint.Data is DoubleData)
{
ColumnTypes.Add(DataTypes.DOUBLE);
ColumnFormats.Add(((DoubleData)(constraint.Data)).DecimalPlaces);
sqlStatement1 += "float, ";
sqlStatement2 += "float, ";
}
ColumnUnits.Add(constraint.Data.Unit);
MinValues.Add(Double.NaN);
MaxValues.Add(Double.NaN);
}
TableNames.Add("OptimAllResults");
TableNames.Add("OptimGenResults");
if (OptimisationTemplate.DesignVariables.Count() + OptimisationTemplate.Objectives.Count() + OptimisationTemplate.Constraints.Count() > 0)
{
sqlStatement1 = sqlStatement1.Remove(sqlStatement1.Length - 2);
sqlStatement2 = sqlStatement2.Remove(sqlStatement2.Length - 2);
}
sqlStatement1 += ")";
sqlStatement2 += ")";
#endregion Atif
}
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");
}