XING Huanlai, JI Yuefeng, BAI Lin, et al., “An Adaptive-Evolution-based Quantum Genetic Algorithm for QoS Multicast Routing Problem,” Chinese Journal of Electronics, vol. 18, no. 3, pp. 525-529, 2009,
Citation: XING Huanlai, JI Yuefeng, BAI Lin, et al., “An Adaptive-Evolution-based Quantum Genetic Algorithm for QoS Multicast Routing Problem,” Chinese Journal of Electronics, vol. 18, no. 3, pp. 525-529, 2009,

An Adaptive-Evolution-based Quantum Genetic Algorithm for QoS Multicast Routing Problem

  • Received Date: 2007-11-01
  • Rev Recd Date: 2008-12-01
  • Publish Date: 2009-08-25
  • This paper investigates least-cost Quality-of-service (QoS) multicastrouting problem in Internet protocol over Dense wavelength divisionmultiplexing (IP/DWDM) optical networks and presents anAdaptive-evolution-based quantum genetic algorithm (AEQGA). Based onAdaptive evolution (AE) mechanism, AEQGA assignsadaptively-adjusted evolutionary parameters to every chromosomeaccording to its own evolutionary situation before each update.Simulation results show that AEQGA is superior to other existingalgorithms and is characterized by fast convergence and effectiveglobal search capability.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (571) PDF downloads(776) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return