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MECSBO: Multi‐strategy enhanced circulatory system based optimisation algorithm for global optimisation and reliability‐based design optimisation problems

Authors :
Shiyuan Yang
Chenhao Guo
Debiao Meng
Yipeng Guo
Yongqiang Guo
Lidong Pan
Shun‐Peng Zhu
Source :
IET Collaborative Intelligent Manufacturing, Vol 6, Iss 2, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract The Circulatory System Based Optimisation (CSBO) stands as a nascent metaheuristic optimisation algorithm known for its proficiency in tackling global optimisation problems. The authors introduce the Multi‐strategy Enhanced CSBO (MECSBO), an algorithm designed for global optimisation and Reliability‐based Design Optimisation (RBDO). MECSBO integrates adaptive inertia weight, golden sine operator and chaos strategy to augment the convergence capacity and efficiency of the original CSBO. Furthermore, MECSBO‐based RBDO algorithm is presented to address RBDO problem. The comparative analysis utilising standard real‐world benchmark functions has been carried out to validate the effectiveness of the proposed MECSBO. Several RBDO problems, including three typical numerical examples and three engineering cases, are used to show abilities of the proposed MECSBO‐based RBDO algorithm. The results demonstrated that MECSBO is outperformed comparing to the state‐of‐the‐art algorithms in terms of accuracy, efficiency, and robustness in RBDO problems.

Details

Language :
English
ISSN :
25168398
Volume :
6
Issue :
2
Database :
Directory of Open Access Journals
Journal :
IET Collaborative Intelligent Manufacturing
Publication Type :
Academic Journal
Accession number :
edsdoj.f40629020d144ec29f8bced41751ff82
Document Type :
article
Full Text :
https://doi.org/10.1049/cim2.12097