Using a filter-based SQP algorithm in a parallel environment

dc.contributor.authorVenter, Gerhard
dc.contributor.authorVanderplaats, Garret N.
dc.identifier.citationVenter, 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.en_ZA
dc.descriptionPresented 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.en_ZA
dc.descriptionThe original publication is available at
dc.description.abstractA 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.en_ZA
dc.format.extent21 p. : ill.
dc.publisherAmerican Institute of Aeronautics and Astronauticsen_ZA
dc.subjectGradient-based optimizationen_ZA
dc.subjectTraditional SQP algorithmen_ZA
dc.subjectFilter based SQPen_ZA
dc.titleUsing a filter-based SQP algorithm in a parallel environmenten_ZA
dc.rights.holderThe Authoren_ZA

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