Path Planning Algorithm of Unmanned Ship Based on Improved Ant Colony

As a new type of intelligent offshore operation equipment, unmanned ship is gradually becoming a research hotspot at home and abroad. Path planning technology is one of the key technologies of intelligent unmanned ship. In this paper, a local path planning method based on improved ant colony algorithm is proposed based on the research of unmanned ship path planning technology. Firstly, the basic principle of path planning algorithm based on ant colony algorithm is introduced. Secondly, it aims at the shortcomings of ant colony algorithm such as slow convergence speed in the early stage. A local path planning method based on improved ant colony algorithm is designed by fusion of ant colony algorithm and genetic algorithm. Finally, the validity and superiority of the proposed method are verified by simulation analysis.