Enhanced artificial hummingbird algorithm with chaotic traversal flight

Abstract Tackling the shortcomings of slow convergence, imprecision, and entrapment in local optima inherent in traditional meta-heuristic algorithms, this study presents the enhanced artificial hummingbird algorithm with chaotic traversal flight (CEAHA), which employs chaotic ergodicity within the...

書誌詳細
出版年:	Scientific Reports
主要な著者:	Juan Du, Jilong Zhang, Shouliang Li, Zhen Yang
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2024-10-01
主題:	Meta-heuristic optimization Chaos Artificial hummingbird algorithm Mechanical design optimization
オンライン･アクセス:	https://doi.org/10.1038/s41598-024-77115-0

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