(American Institute of Aeronautics and Astronautics, 2009-12) Venter, Gerhard; Vanderplaats, Garret N.
A parallel, filter-based, sequential quadratic programming (SQP) algorithm
is implemented and tested for typical general-purpose engineering applications.
Constrained engineering test problems, including a finite element simulation,
with up to 512 design variables are considered. The accuracy and serial performance
of the filter-based algorithm are compared against that of a standard
SQP algorithm. The parallel performance of the algorithm is evaluated, using up
to 52 cores on a Linux Cluster. The results indicate that the filter-based algorithm
competes favorably with a standard SQP algorithm in a serial environment. However,
the filter-based algorithm exhibits much better parallel efficiency due to the
lack of a one dimensional search.