Efficient multi-UAV path planning in dynamic and complex environments using hybrid polar lights optimization

Efficient multi-UAV path planning in dynamic and complex environments using hybrid polar lights optimization

Abstract Unmanned Aerial Vehicle (UAV) swarm path planning poses significant challenges, particularly in dynamic environments with complex obstacles. Traditional path-planning methods often encounter difficulties related to high dimensionality and obstacle density. This paper introduces a novel MA b...

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Bibliographic Details
Main Authors: Ziyin Xu, Zhilin Wang, Rui Liu, Chenliang Huang, Yuxiang Shi, Mingjing Wang, Huiling Chen
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Unmanned aerial vehicles
Path-planning
Polar lights optimization
Covariance matrix adaptation evolution strategy
Criss-Cross
Online Access:https://doi.org/10.1007/s44443-025-00139-7
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https://doi.org/10.1007/s44443-025-00139-7

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