中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (4): 95-100.doi:

• Artificial Intelligence • 上一篇    下一篇

QoS multicast routing scheme using QGA in IP/DWDM networks

邢焕来,柏琳,纪越峰   

  1. Key Laboratory of Optical Communications and Lightwave Technologies, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2008-05-19 修回日期:1900-01-01 出版日期:2008-12-30
  • 通讯作者: XING Huan-lai

QoS multicast routing scheme using QGA in IP/DWDM networks

XING Huan-lai, BAI Lin, JI Yue-feng   

  1. Key Laboratory of Optical Communications and Lightwave Technologies, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2008-05-19 Revised:1900-01-01 Online:2008-12-30
  • Contact: XING Huan-lai

摘要:

This article studies multi-constraints least-cost multicast routing problem in internet protocol over dense wavelength division multiplexing (IP/DWDM) networks. To address this problem, an individual-difference-based quantum genetic algorithm (IDQGA) is proposed. This algorithm considers individual differences among chromosomes by introducing an adaptive rotation angle step determination scheme and a grouping-based quantum mutation operation. Simulations are conducted over network topologies. The results indicate that compared with other heuristic algorithms, IDQGA has better optimal performance on solving quality of service (QoS) multicast routing problem in IP/DWDM networks and is characterized by strong robustness, high success ratio and excellent capability on global searching.

关键词:

IP-over-DWDM,;multicast,;QoS,;quantum;genetic;algorithm

Abstract:

This article studies multi-constraints least-cost multicast routing problem in internet protocol over dense wavelength division multiplexing (IP/DWDM) networks. To address this problem, an individual-difference-based quantum genetic algorithm (IDQGA) is proposed. This algorithm considers individual differences among chromosomes by introducing an adaptive rotation angle step determination scheme and a grouping-based quantum mutation operation. Simulations are conducted over network topologies. The results indicate that compared with other heuristic algorithms, IDQGA has better optimal performance on solving quality of service (QoS) multicast routing problem in IP/DWDM networks and is characterized by strong robustness, high success ratio and excellent capability on global searching.

Key words:

IP-over-DWDM;multicast;QoS;quantum genetic algorithm