Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

Abstract Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and multimodal optimization problems. Ho...

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Chi tiết về thư mục
Những tác giả chính:	Jiaxu Huang, Haiqing Hu
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	SpringerOpen 2024-01-01
Loạt:	Journal of Big Data
Những chủ đề:	Beluga whale optimization Quasi-oppositional based learning The adaptive and spiral predation strategies Nelder-Mead simplex search Engineering design
Truy cập trực tuyến:	https://doi.org/10.1186/s40537-023-00864-8

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