Abstract:

In order to reduce computation cost and improve convergence characteristic of collaborative optimization (CO), low degreeoffreedom collaborative optimization (LDFCO) is proposed. The systemlevel optimizes the problem target by changing the shared and auxiliary variables and being subjected to the consistency constraints. Each subsystem optimizes its objective, satisfies its local constraints by varying its local variables. There are two formulations of the objective of each subsystem.

Key words: multidisciplinary , design , optimization,  , low , degree-of-freedom , collaborative , optimization,  , collaborative , optimization,  , surrogate , model