Using a filter-based SQP algorithm in a parallel environment
Date
2009-12
Authors
Venter, Gerhard
Vanderplaats, Garret N.
Journal Title
Journal ISSN
Volume Title
Publisher
American Institute of Aeronautics and Astronautics
Abstract
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.
Description
Presented at the 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 17th AIAA/ASME/AHS Adaptive Structures Conference 11th AIAA No, Palm Springs, California, May 4-7, 2009.
The original publication is available at http://www.aiaa.org/.
The original publication is available at http://www.aiaa.org/.
Keywords
Gradient-based optimization, Traditional SQP algorithm, Filter based SQP
Citation
Venter, G. & Vanderplaats, G.N. 2009. Using a filter-based SQP algorithm in a parallel environment. Journal of aerospace computing, information, and communication. 6(12), 635–648.