Adaptive Experimental Design For Construction Of Response Surface Approximations

Adaptive Experimental Design For Construction Of Response Surface Approximations (2001)

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by Victor M. Pérez , John E. Renaud , Layne T. Watson

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Datum	Value	Source
TITLE	Adaptive Experimental Design For Construction Of Response Surface Approximations	user correction - Legacy Corrections
AUTHOR NAME	Victor M. Pérez	user correction
AUTHOR AFFIL	Department of Aerospace and Mechanical Engineering; University of Notre Dame; Notre Dame, Indiana	user correction
AUTHOR NAME	John E. Renaud	user correction
AUTHOR AFFIL	Department of Aerospace and Mechanical Engineering; University of Notre Dame; Notre Dame, Indiana	user correction
AUTHOR NAME	Layne T. Watson	user correction
AUTHOR AFFIL	Deptartments of Computer Science and Mathematics; Virginia Polytechnic Institute and State Univeristy	user correction
AUTHOR ADDR	Blacksburg, Virginia	user correction
ABSTRACT	Sequential Approximate Optimization (SAO) is a class of methods available for the multidisciplinary design optimization (MDO) of complex systems that are composed of several disciplines coupled together. One of the approaches used for SAO, is based on a quadratic response surface approximation, where zero and first order information are required. In these methods, designers must generate and query a database of order O(n²) in order to compute the second order terms of the quadratic response surface approximation. As the number of design variables grows, the computational cost of generating the required database becomes a concern. In this paper, we present an new approach in which we require just O(n) parameters for constructing a second order approximation. This is accomplished by transforming the matrix of second order terms into the canonical form. The method periodically requires an order O(n²) update of the second order approximation to maintain accuracy. Results show	user correction
YEAR	2001	user correction - Legacy Corrections
CITATIONS	28 found	ParsCit 1.0