Title :
Notice of Retraction
Mean-value first order saddlepoint approximation based collaborative optimization for multidisciplinary problems under aleatory uncertainty
Author :
Debiao Meng ; Xiaoling Zhang ; Hong-Zhong Huang ; Zhonglai Wang ; Ningcong Xiao
Author_Institution :
Sch. of Mech., Electron., & Ind. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In engineering design, to achieve high reliability and safety in multidisciplinary systems, Reliability Based Multidisciplinary Design Optimization (RBMDO) has received increasing attention. In this paper, Mean-value First Order Saddlepoint Approximation (MVFOSA) is introduced and combined with the collaborative optimization (CO) method to deal with the reliability analysis under aleatory uncertainty in RBMDO. One example is provided to show the accuracy and the efficiency of MVFOSA-CO.
Keywords :
approximation theory; design engineering; optimisation; reliability; safety; uncertainty handling; MVFOSA-CO; RBMDO; aleatory uncertainty; collaborative optimization method; engineering design; high reliability; mean-value first order saddlepoint approximation; multidisciplinary systems; reliability analysis; reliability based multidisciplinary design optimization; safety; Accuracy; Approximation methods; Collaboration; Optimization; Reliability engineering; Uncertainty; aleatory uncertainty; collaborative optimization; mean-value first order saddlepoint approximation; reliability analysis; reliability based multidisciplinary design optimization;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625619
