Parallel Multipoint Variable-Complexity Approximations For
Multidisciplinary Optimization
Proceedings Of The IEEE Scalable High-Performance
Computing Conference 1994, pp. 734-740
June 1994
Burgee,S.L., Watson,L.T., Giunta,A.A., Grossman,B.,
Haftka,R.T. and Mason,W.H.
Abstract
The design of modern aerospace vehicles involves multidisciplinary interactions
and presents a formidable challenge to the designer in a competitive
marketplace. Multidisciplinary optimization technology is a
major tool for addressing this need, but its current use in the design process
is limited by its enormous computational burden. Even refined models for recent
applications such as the High Speed Civil Transport fall short of the level of
complexity required for
realistic designs. The goal of our research is to apply the power
of emerging parallel
computation systems to permit a level of model refinement that would produce
realistic designs. We propose a new variable-complexity approximation
strategy that will take maximum advantage of parallel
computation capabilities.
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