A parallel particle swarm optimization and enhanced sparrow search algorithm for unmanned aerial vehicle path planning

Unmanned Aerial Vehicle (UAV) path planning is to plan an optimal path for its flight in a specific environment. But it cannot get satisfactory results using ordinary algorithms. To solve this problem, a hybrid algorithm is proposed named as PESSA, where particle swarm optimization (PSO) and an enha...

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Detalles Bibliográficos
Autores principales: Wang, Ziwei, Sun, Guangkai, Zhou, Kangpeng, Zhu, Lianqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130779/
https://www.ncbi.nlm.nih.gov/pubmed/37123920
http://dx.doi.org/10.1016/j.heliyon.2023.e14784

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130779/
https://www.ncbi.nlm.nih.gov/pubmed/37123920
http://dx.doi.org/10.1016/j.heliyon.2023.e14784

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