Interaction Prediction Optimization in Multidisciplinary Design Optimization Problems
Joint Authors
Huang, Hong-Zhong
Meng, Debiao
Zhang, Xiaoling
Wang, Zhonglai
Xu, Huanwei
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-19
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The distributed strategy of Collaborative Optimization (CO) is suitable for large-scale engineering systems.
However, it is hard for CO to converge when there is a high level coupled dimension.
Furthermore, the discipline objectives cannot be considered in each discipline optimization problem.
In this paper, one large-scale systems control strategy, the interaction prediction method (IPM), is introduced to enhance CO.
IPM is utilized for controlling subsystems and coordinating the produce process in large-scale systems originally.
We combine the strategy of IPM with CO and propose the Interaction Prediction Optimization (IPO) method to solve MDO problems.
As a hierarchical strategy, there are a system level and a subsystem level in IPO.
The interaction design variables (including shared design variables and linking design variables) are operated at the system level and assigned to the subsystem level as design parameters.
Each discipline objective is considered and optimized at the subsystem level simultaneously.
The values of design variables are transported between system level and subsystem level.
The compatibility constraints are replaced with the enhanced compatibility constraints to reduce the dimension of design variables in compatibility constraints.
Two examples are presented to show the potential application of IPO for MDO.
American Psychological Association (APA)
Meng, Debiao& Zhang, Xiaoling& Huang, Hong-Zhong& Wang, Zhonglai& Xu, Huanwei. 2014. Interaction Prediction Optimization in Multidisciplinary Design Optimization Problems. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050666
Modern Language Association (MLA)
Meng, Debiao…[et al.]. Interaction Prediction Optimization in Multidisciplinary Design Optimization Problems. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1050666
American Medical Association (AMA)
Meng, Debiao& Zhang, Xiaoling& Huang, Hong-Zhong& Wang, Zhonglai& Xu, Huanwei. Interaction Prediction Optimization in Multidisciplinary Design Optimization Problems. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050666
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050666