DocumentCode
2136611
Title
Underwater glider task allocation based on the ant colony algorithm
Author
Shaoxuan Ren ; Yong Mei
Author_Institution
Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China
fYear
2013
fDate
23-25 July 2013
Firstpage
585
Lastpage
589
Abstract
The ant colony algorithm is an intelligence-optimized algorithm introduced by simulating ants searching for food by seeking the shortest route through pheromone. It is very useful in solving certain complicated optimization. This paper solves task allocation problem that an underwater glider deals with multiple tasks according to their situations, finished time and importance. The simulation results show that the ant colony algorithm is feasible and effective in solving tasks allocation.
Keywords
autonomous underwater vehicles; optimisation; search problems; ant colony algorithm; ant food searching simulation; intelligence-optimized algorithm; pheromone; shortest route; underwater glider task allocation; Algorithm design and analysis; Biological cells; Genetic algorithms; Genetics; Heuristic algorithms; Resource management; Robots; ant colony algorithm; tasks allocation; underwater glider;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/ICNC.2013.6818044
Filename
6818044
Link To Document