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题名:
A hybrid reliability algorithm using PSO-optimized Kriging model and adaptive importance sampling
作者: Tong C(佟操); Gong HL(龚海里)
作者部门: 空间自动化技术研究室
通讯作者: Tong C(佟操)
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: 3rd International Conference on Energy Equipment Science and Engineering, ICEESE 2017
会议录出版者: IOP
会议录出版地: Bristol, UK
出版日期: 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
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/22031
Appears in Collections:空间自动化技术研究室_会议论文

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作者单位: State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

Recommended Citation:
Tong C,Gong HL. A hybrid reliability algorithm using PSO-optimized Kriging model and adaptive importance sampling[C]. 2017 3rd International Conference on Energy Equipment Science and Engineering, ICEESE 2017. Beijing, China. December 28-31, 2017.A hybrid reliability algorithm using PSO-optimized Kriging model and adaptive importance sampling.
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文件名: A hybrid reliability algorithm using PSO-optimized Kriging model and adaptive importance sampling.pdf
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