Composite Improved Algorithm Based on Jellyfish, Particle Swarm and Genetics for UAV Path Planning in Complex Urban Terrain

Composite Improved Algorithm Based on Jellyfish, Particle Swarm and Genetics for UAV Path Planning in Complex Urban Terrain

Path planning technology is of great consequence in the field of unmanned aerial vehicles (UAVs). In order to enhance the safety, path smoothness, and shortest path acquisition of UAVs undertaking tasks in complex urban multi-obstacle environments, this paper proposes an innovative composite improve...

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Bibliographic Details
Main Authors: Qi Wang, Wenjun Yi
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
jellyfish search algorithm
particle swarm algorithm
genetic algorithm
UAV path planning
complex urban terrain modelling
CEC2005 benchmark functions
Online Access:https://www.mdpi.com/1424-8220/24/23/7679

Internet

https://www.mdpi.com/1424-8220/24/23/7679

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