A parallel particle swarm optimization and enhanced sparrow search algorithm for unmanned aerial vehicle path planning-Reference-Cited by-同舟云学术

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

Published:2023-04 Issue:4 Volume:9 Page:e14784
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Wang Ziwei^ORCID,Sun Guangkai,Zhou Kangpeng,Zhu Lianqing

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference53 articles.

1. Multipurpose UAV for Search and Rescue Operations in Mountain Avalanche Events Avalanche Events;Silvagni,2017

2. Cooperative UAV – UGV autonomous power pylon inspection : an investigation of cooperative outdoor;Cantieri;Sensors,2020

3. Path planning with modified A star algorithm for a mobile robot;Duchon;Procedia Eng.,2014

4. Path optimization study for vehicles evacuation based on Dijkstra algorithm;Chen;Procedia Eng.,2014

5. Modified artificial potential field method for online path planning applications;Bounini;IEEE Intell. Veh. Symp. Proc.,2017

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. APPA-3D: an autonomous 3D path planning algorithm for UAVs in unknown complex environments;Scientific Reports;2024-01-12

2. Modeling UAV swarm flight trajectories using Rapidly-exploring Random Tree algorithm;Journal of King Saud University - Computer and Information Sciences;2024-01

3. A Safe Heuristic Path-Planning Method Based on a Search Strategy;Sensors;2023-12-24

4. Energy-saving optimization of the parallel chillers system based on a multi-strategy improved sparrow search algorithm;Heliyon;2023-10

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