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/).

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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  -