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

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.