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A Novel Variable-Fidelity Kriging Surrogate Model Based on Global Optimization for Black-Box Problems

Yi Guan Pengpeng Zhi Zhonglai Wang

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(9)：P.3343-3368,26.

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(9)：P.3343-3368,26.DOI:10.32604/cmes.2025.069515

A Novel Variable-Fidelity Kriging Surrogate Model Based on Global Optimization for Black-Box Problems

Yi Guan ¹Pengpeng Zhi ²Zhonglai Wang³

作者信息

1. School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China
2. Yangtze Delta Region Institute(Huzhou),University of Electronic Science and Technology of China,Huzhou,313000,China Institute of Electronic and Information Engineering of University of Electronic Science and Technology of China in Guangdong,Dongguan,523808,China
3. School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China Institute of Electronics and Information Industry Technology of Kash,Kash,844000,China
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摘要

关键词

Global optimization/kriging/variable-fidelity model/slime mould algorithm/expected improvement

分类

信息技术与安全科学

引用本文复制引用

Yi Guan,Pengpeng Zhi,Zhonglai Wang..A Novel Variable-Fidelity Kriging Surrogate Model Based on Global Optimization for Black-Box Problems[J].Computer Modeling in Engineering & Sciences,2025,144(9):P.3343-3368,26.

基金项目

funded by National Natural Science Foundation of China(grant No.52405255) （grant No.52405255）

Special Program of Huzhou(grant No.2023GZ05) （grant No.2023GZ05）

Projects of Huzhou Science and Technology Correspondent(grant No.2023KT76) （grant No.2023KT76）

Guangdong Basic and Applied Basic Research Foundation(grant No.2025A1515010487)。（grant No.2025A1515010487）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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