An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines
Joint Authors
Yao, Xifan
Zhou, Jifeng
Li, Yongxiang
Liu, Erhui
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-21
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
To improve the solution efficiency and reliability of multidisciplinary design optimization (MDO), an enhanced MDO approach, called sequenced collaborative optimization (SCO), is proposed.
The proposed approach introduces the design structure matrix (DSM) to describe the coupling effects among disciplines and aggregates those mutually coupling disciplines into the strong tie groups among similar ones and the weak tie among heterogeneous ones through clustering algorithms.
Further, those in the same group are sequenced by the DSM division algorithm.
Moreover, by adding constraints, the groups are made independent, resulting in a tree structure without loops, thus decoupling the original multidisciplinary problem into several independent collaborative optimization modules.
In the end, an example is employed to verify the efficiency and reliability of the approach.
American Psychological Association (APA)
Yao, Xifan& Zhou, Jifeng& Li, Yongxiang& Liu, Erhui. 2016. An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112185
Modern Language Association (MLA)
Yao, Xifan…[et al.]. An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1112185
American Medical Association (AMA)
Yao, Xifan& Zhou, Jifeng& Li, Yongxiang& Liu, Erhui. An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112185
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112185