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An Enhanced Analytical Target Cascading and Kriging Model Combined Approach for Multidisciplinary Design Optimization
Joint Authors
Jiang, Ping
Wang, Jianzhuang
Zhou, Qi
Zhang, Xiaolin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Multidisciplinary design optimization (MDO) has been applied widely in the design of complex engineering systems.
To ease MDO problems, analytical target cascading (ATC) organizes MDO process into multilevels according to the components of engineering systems, which provides a promising way to deal with MDO problems.
ATC adopts a coordination strategy to coordinate the couplings between two adjacent levels in the design optimization process; however, existing coordination strategies in ATC face the obstacles of complicated coordination process and heavy computation cost.
In order to conquer this problem, a quadratic exterior penalty function (QEPF) based ATC (QEPF-ATC) approach is proposed, where QEPF is adopted as the coordination strategy.
Moreover, approximate models are adopted widely to replace the expensive simulation models in MDO; a QEPF-ATC and Kriging model combined approach is further proposed to deal with MDO problems, owing to the comprehensive performance, high approximation accuracy, and robustness of Kriging model.
Finally, the geometric programming and reducer design cases are given to validate the applicability and efficiency of the proposed approach.
American Psychological Association (APA)
Jiang, Ping& Wang, Jianzhuang& Zhou, Qi& Zhang, Xiaolin. 2015. An Enhanced Analytical Target Cascading and Kriging Model Combined Approach for Multidisciplinary Design Optimization. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074463
Modern Language Association (MLA)
Jiang, Ping…[et al.]. An Enhanced Analytical Target Cascading and Kriging Model Combined Approach for Multidisciplinary Design Optimization. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074463
American Medical Association (AMA)
Jiang, Ping& Wang, Jianzhuang& Zhou, Qi& Zhang, Xiaolin. An Enhanced Analytical Target Cascading and Kriging Model Combined Approach for Multidisciplinary Design Optimization. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074463
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074463