• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2011, Vol. 33 ›› Issue (1): 42-46.doi: 10.3969/j.issn.1007130X.2011.

• 论文 • Previous Articles     Next Articles

Application of the Genetic Simulated Annealing Algorithm in Multicast Routing Optimization

ZHU Dongmei,SHENG Jianling   

  1.  (North China Institute of Technology,Sanhe 065201,China)
  • Received:2010-01-28 Revised:2010-05-08 Online:2011-01-25 Published:2011-01-25

Abstract:

This paper studies bandwidth delay and the delay variation constrained leastcost QoS multicast routing problem and proposes a genetic simulated annealing algorithm which can speed up the evolutionary rate and avoid antiprecocity. 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