Implementation and performance issues in collaborative optimization
Robert D. Braun, Peter J. Gage, Ilan M. Kroo, I. P. Sobieski · 6th Symposium on Multidisciplinary Analysis and Optimization · 1996
Collaborative optimization is a multidisciplinary design architecture that is well-suited to large-scale multidisciplinary optimization problems. This paper compares this approach with other architectures, examines the details of the formulation, and some aspects of its performance. A particular version of the architecture is proposed to better accommodate the occurrence of multiple feasible regions. The use of system level inequality constraints is shown to increase the convergence rate. A series of simple test problems, demonstrated to challenge related optimization architectures, is successfully solved with collaborative optimization.