A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions

A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions

Abstract Unmanned aerial vehicle (UAV) path planning is a constrained multi-objective optimization problem. With the increasing scale of UAV applications, finding an efficient and safe path in complex real-world environments is crucial. However, existing particle swarm optimization (PSO) algorithms...

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Bibliographic Details
Main Authors: Yanfei Liu, Hao Zhang, Hao Zheng, Qi Li, Qi Tian
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Particle swarm optimization
UAV path planning
Initialization
Adaptation
Evolutionary programming
Online Access:https://doi.org/10.1038/s41598-025-85912-4
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https://doi.org/10.1038/s41598-025-85912-4

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