A hybrid self-adjusted mean value method for reliability-based design optimization using sufficient descent condition

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• 作者：Behrooz Keshtegar^a ; ^{bkeshtegar@yahoo.com} ; ^{Bkeshtegar@uoz.ac.ir} ; Peng Hao^b
• 关键词：Reliability-based design optimization ; Performance measure approach ; Self-adaptive mean value ; Hybrid self-adaptive mean value ; Sufficient descent condition
• 刊名：Applied Mathematical Modelling
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：41
• 期：Complete
• 页码：257-270
• 全文大小：1699 K
• 卷排序：41

文摘

A self-adjusted mean value (SMV) is developed based on the advanced mean value. A hybrid self-adjusted mean value (HSMV) is proposed using sufficient condition. Robustness and efficiency of SMV and HSMV are demonstrated by several examples. Proposed SMV and HSMV performed better than existing reliability methods.