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