Title : 
Cooperative ant colony optimization for multisatellite resource scheduling problem
         
        
            Author : 
Zhang, Na ; Feng, Zuren
         
        
            Author_Institution : 
Xian Jiaotong Univ., Xian
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/CEC.2007.4424829