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HBWO-JS: jellyfish search boosted hybrid beluga whale optimization algorithm for engineering applications

open access: yesJournal of Computational Design and Engineering, 2023
Abstract Beluga whale optimization (BWO) algorithm is a recently proposed population intelligence algorithm. Inspired by the swimming, foraging, and whale falling behaviors of beluga whale populations, it shows good competitive performance compared to other state-of-the-art algorithms.
Gang Hu, Jingyu Zhong
exaly   +2 more sources

Kalman Filter Based Improved Beluga Whale Optimization Algorithm

2023 13th International Conference on Information Science and Technology (ICIST), 2023
Hongbing Li, Baojie Zhang
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An Enhanced Beluga Whale Optimization Algorithm for Engineering Optimization Problems

Journal of Systems Science and Systems Engineering
Parul Punia, Amit Raj, Pawan Kumar
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EBWO: a multi-strategy collaborative enhanced Beluga Whale Optimization algorithm

Engineering Research Express
Abstract To address the limitations of the Beluga Whale Optimization (BWO) algorithm, including insufficient population diversity, susceptibility to local optima, and room for improvement in convergence speed, this paper proposes a multi-strategy enhanced Beluga Whale Optimization (EBWO). The EBWO integrates three improvement strategies:
Junchang Liu, Yu Liu
openaire   +1 more source

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