Research on underwater glider path planning based on grey wolf optimisation algorithm

Qian Song; Menghong Yu

doi:10.1117/12.3030361

16 May 2024 Research on underwater glider path planning based on grey wolf optimisation algorithm

Qian Song, Menghong Yu

Proceedings Volume 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024); 131601J (2024) https://doi.org/10.1117/12.3030361
Event: 4th International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 2024, Beijin, China

Abstract

Aiming at the problem that the traditional grey wolf algorithm has low convergence efficiency and to fall into local optimum when solving the underwater glider path planning problem, this paper uses an optimization algorithm with an adaptive head wolf to improve the exploration ability of the grey wolf individual by increasing the head wolf, and applies it to the path planning of underwater gliders. It is experimentally verified that the improved grey wolf algorithm saves 43.877% of time on underwater glider path planning.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qian Song and Menghong Yu "Research on underwater glider path planning based on grey wolf optimisation algorithm", Proc. SPIE 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 131601J (16 May 2024); https://doi.org/10.1117/12.3030361

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