DocumentCode
651142
Title
Optimal mission planning for underwater environment
Author
Daegil Park ; Jonghui Han ; Wan Kyun Chung
Author_Institution
Dept. of Mech. Eng., POSTECH, Pohang, South Korea
fYear
2013
fDate
Oct. 30 2013-Nov. 2 2013
Firstpage
554
Lastpage
555
Abstract
In this paper, we suggest the mission planning method for autonomous underwater vehicle. In order to set the optimal mission scheduling, we solve the traveling salesman problem using genetic algorithm, and we suggest the cost function which considering both Euclidean distance and current information. In additionally, constraints such as priority and obstacles is considered. By checking the simulation, we achieved the valuable simulation results.
Keywords
autonomous underwater vehicles; genetic algorithms; optimal control; path planning; travelling salesman problems; Euclidean distance; autonomous underwater vehicle; genetic algorithm; mission planning method; optimal mission planning; optimal mission scheduling; traveling salesman problem; underwater environment; Cost function; Genetic Algorithm; Mission planner; Traveling Salesman Problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location
Jeju
Print_ISBN
978-1-4799-1195-0
Type
conf
DOI
10.1109/URAI.2013.6677395
Filename
6677395
Link To Document