J4 ›› 2011, Vol. 33 ›› Issue (1): 42-46.doi: 10.3969/j.issn.1007130X.2011.
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ZHU Dongmei,SHENG Jianling
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Abstract:
This paper studies bandwidth delay and the delay variation constrained leastcost QoS multicast routing problem and proposes a genetic simulated annealing algorithm which can speed up the evolutionary rate and avoid antiprecocity. The algorithm adopts tree structure coding and improved cross and variation operations, and combines the merits in the partial search ability of the simulation annealing algorithm. It constructes a neighbor set in the range of feasible solutions and gives a new criterion for judging the premature convergence.The simulation results show that the revised algorithm has a more rapid convergence rate in the global optimal solution than the only genetic algorithm and the simulated annealing algorithm.
Key words: multicast routing;genetic simulated annealing;multicast tree
ZHU Dongmei,SHENG Jianling. Application of the Genetic Simulated Annealing Algorithm in Multicast Routing Optimization[J]. J4, 2011, 33(1): 42-46.
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URL: http://joces.nudt.edu.cn/EN/10.3969/j.issn.1007130X.2011.
http://joces.nudt.edu.cn/EN/Y2011/V33/I1/42