Path Planning Of Underwater UAV Based On Improved Ant Colony Algorithm

With the continuous development of modern computer information science,the application fields of artificial intelligence and marine big data are also expanding.The optimal path selection and planning of drones has become an important part of it.China has a long coastline and more than 400 square kilometers of water,including the inland sea.Therefore,the issue of the comprehensive utilization of underwater drones and marine resources has become increasingly urgent.Underwater drones have become an important technical tool for the development and comprehensive utilization of marine resources.In the face of this complex and changing marine ecological environment,current underwater drones are still an optimal path plan Important subject,the effects of many algorithms on path planning are not satisfactory and it is difficult to get better results.The ant colony algorithm has very good effects on the path planning of underwater drones,and has good robustness and globality.However,in the face of complex marine environments,the problems of local optimal solutions and slow convergence speed often occur.Place.This paper researches on the basis of traditional algorithms,and improves the shortcomings of traditional algorithms.An adaptive ant colony algorithm based on normal distribution is established.It has three directions: adding target guide element,elite ant system,and updating pheromone concentration.Make improvements.Furthermore,the application steps of the improved ant colony algorithm in path planning are determined,and its experimental simulation is performed.The simulation results show that compared with the traditional ant colony algorithm,the improved ant colony algorithm has better convergence speed,can accurately find the optimal path,and has strong feasibility.Aiming at the complicated and changeable underwater environment,applying the grid method to establish a two-dimensional model of the underwater environment,and from this to the three-dimensional environment,accurately expressing the undulations of the water bottom surface,is of great significance for studying the path planning of underwater drones.Through simulation on the established grid model,the improved ant colony algorithm has obvious advantages,it can accurately and quickly find the shortest path,and avoid the local optimal solution.