Autonomous Underwater Vehicle Path Planning Based on Improved Salp Swarm Algorithm

Aiming at the problem of path planning for autonomous underwater vehicle (AUV) to cope with the influence of obstacles and eddies in complex marine environments, a path planning method based on an improved salp swarm algorithm (ISSA) is proposed. Firstly, the motion model of the AUV and eddy current...

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書誌詳細

出版年:	Journal of Marine Science and Engineering
主要な著者:	Xuan Guo, Dongming Zhao, Tingting Fan, Fei Long, Caihua Fang, Yang Long
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-08-01
主題:	autonomous underwater vehicle path planning improved salp swarm algorithm
オンライン･アクセス:	https://www.mdpi.com/2077-1312/12/8/1446