Dakota Reference Manual
Version 6.4
LargeScale Engineering Optimization and Uncertainty Analysis

Number of random weighting sets
Alias: none
Argument(s): INTEGER
Required/Optional  Description of Group  Dakota Keyword  Dakota Keyword Description  

Optional  seed  Seed of the random number generator 
The pareto_set
specification must identify an optimization or least squares calibration method using either a method_pointer
or a method_name
plus optional model_pointer
. This minimizer is responsible for computing a set of optimal solutions from a set of response weightings (multiobjective weights or least squares term weights). These weightings can be specified as follows: (1) using random_weight_sets
, in which case weightings are selected randomly within [0,1] bounds, (2) using weight_sets
, in which the weighting sets are specified in a list, or (3) using both random_weight_sets
and weight_sets
, for which the combined set of weights will be used. In aggregate, at least one set of weights must be specified. The set of optimal solutions is called the "pareto set," which can provide valuable design tradeoff information when there are competing objectives.