TY - JOUR
T1 - An agent-supported approach for the collaborative design of complex systems
AU - Hammadi, Moncef
AU - Kellner, Andreas
AU - Guizani, Amir
AU - Choley, Jean-Yves
AU - Hehenberger, Peter
PY - 2016/6/1
Y1 - 2016/6/1
N2 - A novel approach for partitioning and coordinating the collaborative design optimization of complex systems is described. A partitioning metric has been formulated to select the best partitioning solutions among the total possibilities of dividing the complex design optimization problem. Then, an agent-supported approach is used for the coordination of the collaborative design optimization. The approach has been applied to the case of a preliminary design of an electric vehicle, to demonstrate how various agents can effectively communicate with each other to provide support to the collaborative design optimization of complex systems.
AB - A novel approach for partitioning and coordinating the collaborative design optimization of complex systems is described. A partitioning metric has been formulated to select the best partitioning solutions among the total possibilities of dividing the complex design optimization problem. Then, an agent-supported approach is used for the coordination of the collaborative design optimization. The approach has been applied to the case of a preliminary design of an electric vehicle, to demonstrate how various agents can effectively communicate with each other to provide support to the collaborative design optimization of complex systems.
KW - Complex design optimization
KW - agent-supported approach
KW - collaborative design
UR - http://www.scopus.com/inward/record.url?scp=84978322319&partnerID=8YFLogxK
U2 - 10.1142/S1793962316420010
DO - 10.1142/S1793962316420010
M3 - Article
SN - 1793-9615
VL - 7
JO - International Journal of Modeling, Simulation, and Scientific Computing
JF - International Journal of Modeling, Simulation, and Scientific Computing
IS - 2
M1 - 1642001
ER -