Affiliation:
1. School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China
2. Institute of Electronic and Information Engineering of UESTC in Guangdong Dongguan China
3. Glasgow College University of Electronic Science and Technology of China Chengdu China
4. Beijing Research Institute of Mechanical & Electrical Technology Ltd. Beijing China
Abstract
AbstractThe 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.
Publisher
Institution of Engineering and Technology (IET)
Cited by
7 articles.
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