![]() |
Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
|
Solve the optimization problem for the sample allocation by numerical optimization in the case of sampling estimator targeting the scalarization.
Alias: none
Argument(s): none
Employ numerical optimization to solve the optimization problem for finding the optimal sample allocation when targeting the scalarization metric. This option needs NPSOL (preferred choice) or OPTPP (alternative choice) installed.
Default Behavior "off"
The following method block
method, model_pointer = 'HIERARCH' multilevel_sampling pilot_samples = 20 seed = 1237 convergence_tolerance = .01 allocation_target = scalarization scalarization_response_mapping = 1 0 0 0 0 0 1 3 optimization
uses the scalarization as sample allocation target and solves the resulting optimization problem using numerical optimization.
These keywords may also be of interest: