RGG-PSO+: Random Geometric Graphs Based Particle Swarm Optimization Method for UAV Path Planning

Abstract Evolutionary algorithms, such as particle swarm optimization (PSO), are widely applied to UAV path planning problems. However, the fixed particle length of PSO, which may not be suitable for the scenario, will compromise the search efficiency. This paper proposes the RGG-PSO+ method, which...

書誌詳細
出版年:	International Journal of Computational Intelligence Systems
主要な著者:	Yang Liu, Xiaomin Zhu, Xiao-Yi Zhang, Jiannan Xiao, Xiaohan Yu
フォーマット:	論文
言語:	英語
出版事項:	Springer 2024-05-01
主題:	Particle swarm optimization(PSO) Random geometric graphs(RGG) UAV Path planning
オンライン･アクセス:	https://doi.org/10.1007/s44196-024-00511-x

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