random_weight_sets
Number of random weighting sets
Specification
Alias: None
Arguments: INTEGER
Child Keywords:
Required/Optional |
Description of Group |
Dakota Keyword |
Dakota Keyword Description |
|---|---|---|---|
Optional |
Seed of the random number generator |
||
Description
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 (multi-objective 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 trade-off information when there are competing
objectives.
