Simulation of Levy flight.

<div><p>Whale Optimization Algorithm (WOA) suffers from issues such as premature convergence, low population diversity in the later stages of iteration, slow convergence rate, low convergence accuracy, and an imbalance between exploration and exploitation. Thus, an enhanced Whale Optimiz...

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Bibliographic Details
Main Author:	Junhao Wei (6816803) (author)
Other Authors:	Yanzhao Gu (21192659) (author), Zhanxi Xie (22177279) (author), Yuzheng Yan (22177282) (author), Baili Lu (21192662) (author), Zikun Li (2460040) (author), Ngai Cheong (21192665) (author), Jiafeng Zhang (233021) (author), Song Zhang (180477) (author)
Published:	2025
Subjects:	Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified outstanding metaheuristic algorithms low population diversity escape local optima algorithm &# 8217 slow convergence rate low convergence accuracy improving convergence speed spiral shape parameters experimental results show excellent woa variants premature convergence results demonstrate experimental section spiral flight enhanced spiral wide range various dimensions quality baseline performs excellently optimal solution multiple strategies levy flight later stages innovative strategies dynamically adjusting different stages different dimensions canonical woa benchmark functions application scenarios accurately updating
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Simulation of Levy flight.

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