  This work proposes multi-agent systems setting for concurrent engineering
system design optimization and gradually paves the way towards examining graph
theoretic constructs in the context of multidisciplinary design optimization
problem. The flow of the algorithm can be described as follow; generated
estimates of the optimal (shared design) variables are exchanged locally with
neighbor subspaces and then updated by computing a weighted sum of the local
and received estimates. To comply with the consistency requirement, the
resultant values are projected to local constraint sets. By employing the
existing rules and results of the field, it has shown that the dual task of
reaching consensus and asymptotic convergence of the algorithms to locally and
globally optimal and consistent designs can be achieved. Finally, simulations
are provided to illustrate the effectiveness and capability of the presented
framework.
