Unmanned Aerial Vehicle 3D Path Planning Based on an Improved Artificial Fish Swarm Algorithm

Unmanned Aerial Vehicle 3D Path Planning Based on an Improved Artificial Fish Swarm Algorithm

A well-organized path can assist unmanned aerial vehicles (UAVs) in performing tasks efficiently. The artificial fish swarm algorithm (AFSA) is a widely used intelligent optimization algorithm. However, the traditional AFSA exhibits issues of non-uniform population distribution and susceptibility to...

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Bibliographic Details
Main Authors: Tao Zhang, Liya Yu, Shaobo Li, Fengbin Wu, Qisong Song, Xingxing Zhang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Drones
Subjects:
UAV 3D path planning
improved artificial fish swarm algorithm
refractive opposition learning
adaptive spiral search
Online Access:https://www.mdpi.com/2504-446X/7/10/636

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https://www.mdpi.com/2504-446X/7/10/636

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