Abstract
This paper deeply analyzes and studies the ship path planning problem. An improved particle swarm optimization algorithm named chaos multi-population particle swarm optimization(CMPSO) is designed for ship path planning. Firstly, the marine environment model is established based on the link graph method, and the Dijkstra algorithm is used to plan the initial path; Secondly, the improved particle swarm algorithm is used for path planning, a multi-population mechanism is established to balance the population's global search ability and local search ability; Finally, simulate the initial path planning and global static path planning. The results show that the proposed algorithm has better performance than path planning algorithm based on linearly decreasing weight particle swarm optimization(LDW-PSO).
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
