NDLI: Underwater glider task allocation based on the ant colony algorithm

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Underwater glider task allocation based on the ant colony algorithm

Content Provider	IEEE Xplore Digital Library
Author	Shaoxuan Ren Yong Mei
Copyright Year	2013
Description	Author affiliation: Sch. of Mech. Eng., Shenyang Ligong Univ., Shenyang, China (Shaoxuan Ren) \|\| Yantai Moon Co. Ltd., Yantai, China (Yong Mei)
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.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	585
Ending Page	589
File Size	270517
Page Count	5
File Format	PDF
ISBN	9781467347143
ISSN	21579563
DOI	10.1109/ICNC.2013.6818044
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Heuristic algorithms tasks allocation ant colony algorithm Genetics underwater glider Resource management Biological cells Robots Genetic algorithms
Content Type	Text
Resource Type	Article

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