Back to Search Start Over

Polynomial Response Surface Approximations for the Multidisciplinary Design Optimization of a High Speed Civil Transport

Authors :
Hosder, Serhat
Watson, Layne
Grossman, Bernard
Mason, William
Kim, Hongman
Haftka, Raphael
Cox, Steven
Source :
Optimization and Engineering; December 2001, Vol. 2 Issue: 4 p431-452, 22p
Publication Year :
2001

Abstract

Surrogate functions have become an important tool in multidisciplinary design optimization to deal with noisy functions, high computational cost, and the practical difficulty of integrating legacy disciplinary computer codes. A combination of mathematical, statistical, and engineering techniques, well known in other contexts, have made polynomial surrogate functions viable for MDO. Despite the obvious limitations imposed by sparse high fidelity data in high dimensions and the locality of low order polynomial approximations, the success of the panoply of techniques based on polynomial response surface approximations for MDO shows that the implementation details are more important than the underlying approximation method (polynomial, spline, DACE, kernel regression, etc.). This paper selectively surveys some of the ancillary techniques—statistics, global search, parallel computing, variable complexity modeling—that augment the construction and use of polynomial surrogates.

Details

Language :
English
ISSN :
13894420 and 15732924
Volume :
2
Issue :
4
Database :
Supplemental Index
Journal :
Optimization and Engineering
Publication Type :
Periodical
Accession number :
ejs2284560
Full Text :
https://doi.org/10.1023/A:1016094522761