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A hybrid reliability algorithm using PSO-optimized Kriging model and adaptive importance sampling
Tong C(佟操); Gong HL(龚海里)
作者部门空间自动化技术研究室
会议名称2017 3rd International Conference on Energy Equipment Science and Engineering, ICEESE 2017
会议日期December 28-31, 2017
会议地点Beijing, China
会议录名称3rd International Conference on Energy Equipment Science and Engineering, ICEESE 2017
出版者IOP
出版地Bristol, UK
2017
页码1-9
收录类别EI
EI收录号20181705041200
产权排序1
ISSN号1755-1307
摘要This paper aims to reduce the computational cost of reliability analysis. A new hybrid algorithm is proposed based on PSO-optimized Kriging model and adaptive importance sampling method. Firstly, the particle swarm optimization algorithm (PSO) is used to optimize the parameters of Kriging model. A typical function is fitted to validate improvement by comparing results of PSO-optimized Kriging model with those of the original Kriging model. Secondly, a hybrid algorithm for reliability analysis combined optimized Kriging model and adaptive importance sampling is proposed. Two cases from literatures are given to validate the efficiency and correctness. The proposed method is proved to be more efficient due to its application of small number of sample points according to comparison results.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22054
专题空间自动化技术研究室
通讯作者Tong C(佟操)
作者单位State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Tong C,Gong HL. A hybrid reliability algorithm using PSO-optimized Kriging model and adaptive importance sampling[C]. Bristol, UK:IOP,2017:1-9.
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