Path Plan of Unmanned Underwater Vehicle Using Particle Swarm Optimization
- DOI
- 10.2991/isrme-15.2015.358How to use a DOI?
- Keywords
- Unmanned Underwater Vehicle, Route Plan, Swarm Optimization
- Abstract
This article proposes a method to solve route plan problem of unmanned underwater vehicle (UUV) using particle swarm optimization (PSO). Firstly, traditional electronic nautical map is preprocessed to decrease calculated amount in computation of route cost and improve plan instantaneity using technique of threaten circles covering. Secondly, choose appropriate route expression and cost computation. Lastly, route with minimum cost is received using particle swarm optimization. Result indicates that particle swarm optimization based on swarm intelligence can insure optimality most out of limited computation time, relative to traditional method using graph theory and dynamic programming.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jian Sun AU - Xing Liu PY - 2015/04 DA - 2015/04 TI - Path Plan of Unmanned Underwater Vehicle Using Particle Swarm Optimization BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 1764 EP - 1767 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.358 DO - 10.2991/isrme-15.2015.358 ID - Sun2015/04 ER -