The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Bookmark and Share
Application of improved multi-discipline collaborative optimization in ship conceptual design based on dynamic penalty factors
Pages: 1269-1280
Year: Issue:  10
Journal: Journal of Ship Mechanics

Keyword:  multi-discipline designcollaborative optimizationpenalty factordiscrepancy informationconceptual design of ship;
Abstract: Facing the shortcomings of traditional collaborative optimization, such as time-consuming, be-ing sensitive to the initial points and not converging. An improved collaborative optimization is presented and then is applied to ship conceptual design. The main feature of the proposed method is converting system-level consistency constrained optimization problem to an unconstrained optimization problem based on penal-ty function. To ensure the efficiency of the proposed method, two types of dynamically adjustable penalty factors which always reflect the different information are presented. The effects of dynamically adjustable penalty factors are reflected in the optimization process. In the early stage, the larger the difference between the system-level design variables and discipline shared variables is, the larger the punishment is. So that the consistency difference would dominate the overall objective function and prompt the consistency differ-ences decline rapidly. As the process of optimization, dynamically adjustable penalty factors decreased, the convergence of the objective function would be accelerated. Comparing with the traditional collaborative op-timization and other typical improved methods via a numerical example, the better convergence, stability and reliability of the presented collaborative optimization are demonstrated. Finally, this improved collaborative optimization is used to solve an oil tank conceptual design optimization problem that with a cost system and four performance sub-disciplines and a satisfied optimization result is also achieved.
Related Articles
No related articles found