Title :
Ant colony optimization for multicast routing
Author :
Wang, Ying ; Xie, Jianying
Author_Institution :
Inst. of Autom., Shanghai Jiaotong Univ., China
Abstract :
Ant colony optimization (ACO) is a new optimization algorithm, and has the limitation of stagnation. In this paper, the performance of ACO is improved and the improved ACO is combined with heuristic algorithm to solve the multicast routing problem. Simulation shows that the results of this algorithm for multicast routing are better than the heuristic algorithms; this algorithm is also well suited for parallel implementation and execution
Keywords :
multicast communication; optimisation; telecommunication network routing; ant colony optimization; heuristic algorithm; multicast routing; parallel implementation; stagnation; Ant colony optimization; Automatic control; Automation; Cities and towns; Communication networks; Costs; Heuristic algorithms; Multicast algorithms; Multimedia communication; Routing;
Conference_Titel :
Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
Conference_Location :
Tianjin
Print_ISBN :
0-7803-6253-5
DOI :
10.1109/APCCAS.2000.913404
