23rd Congress of International Council of the Aeronautical Sciences, 8-13 September, 2002, Toronto, Canada
Paper ICAS 2002-1.4.1

A NEW EFFECTIVE MULTIDISCIPLINARY DESIGN OPTIMIZATION ALGORITHM

W. Li, Y. Hu
Northwestern Polytechnical University, PRC

Keywords: multidisciplinary design optimization [mdo], subspace approximation optimization, algorithm [sao], linear approximate constraint

Multidisciplinary Design Optimization [MDO] is an approach that can solve the optimization problems of complex and highly coupled engineering systems. We developed a new MDO algorithm called Subspace Approximation Optimization [SAO]. This algorithm is similar to CO but use a set of linear constraints in the system level optimization to approximate the discipline level constraints. It has been proved that this method is very suitable for distributed computation and can robustly converge to the optimum very fast.

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