DocumentCode :
2693242
Title :
Cooperative ant colony optimization for multisatellite resource scheduling problem
Author :
Zhang, Na ; Feng, Zuren
Author_Institution :
Xian Jiaotong Univ., Xian
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
2822
Lastpage :
2828
Abstract :
Multisatellite resource scheduling problem is complicated and difficult to be solved because of the limited resources available. This paper develops a construction graph model of satellite overpasses, which involves several directed subgraphs. A cooperative ant colony optimization is employed to this model and to construct proper solutions, the ants in the same colony search in different subgraphs and communicate with each other by a cooperative strategy. Experimental results demonstrate that this algorithm is superior to the existing scheduling method with better qualities.
Keywords :
artificial intelligence; directed graphs; optimisation; satellite communication; search problems; construction graph model; cooperative ant colony optimization; directed subgraph; multisatellite resource scheduling problem; Ant colony optimization; Force control; Genetic algorithms; Intelligent networks; Iterative algorithms; Iterative methods; Satellite antennas; Satellite ground stations; Scheduling algorithm; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424829
Filename :
4424829
Link To Document :
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