Collaborative Design Optimization Based on Knowledge Discovery from Simulation

Author(s):  
Jie Hu ◽  
Yinghong Peng
2012 ◽  
Vol 215-216 ◽  
pp. 592-596
Author(s):  
Li Gao ◽  
Rong Rong Wang

In order to deal with complex product design optimization problems with both discrete and continuous variables, mix-variable collaborative design optimization algorithm is put forward based on collaborative optimization, which is an efficient way to solve mix-variable design optimization problems. On the rule of “divide and rule”, the algorithm decouples the problem into some relatively simple subsystems. Then by using collaborative mechanism, the optimal solution is obtained. Finally, the result of a case shows the feasibility and effectiveness of the new algorithm.


Author(s):  
Moncef Hammadi ◽  
Amir Guizani ◽  
Jean-Yves Choley ◽  
Andreas Kellner ◽  
Peter Hehenberger

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.


2019 ◽  
Author(s):  
Matteo Gazzin ◽  
Giulio Cassio ◽  
Matteo Nicolich ◽  
Stefano Picinich ◽  
Carlo Poloni

2014 ◽  
Author(s):  
Velayudham Ganesan ◽  
Javier Rodriguez ◽  
Robert Johnston

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