现代电子技术2016，Vol.39Issue(6)：33-36,4.DOI:10.16652/j.issn.1004-373x.2016.06.009
改进的量子遗传算法在网络拥塞控制中的应用
Application of improved quantum genetic algorithm in control of network congestion
摘要
Abstract
Since the current network access and congestion control method based on the genetic algorithm has poor control effect such as time⁃consuming target selection and optimal target's parameters selection,a network congestion control algorithm based on the improved quantum genetic algorithm is proposed in combination with the advantage of quantum computation. The principle of network congestion is analyzed. QoS routing congestion control mathematical model is established. The genetic algo⁃rithm,introducing quantum computation,is improved to guarantee the accuracy of the selection of congestion target parameters on the basis of the static rotation angle of quantum genetic algorithm. The implementation method and the specific process of the algorithm is given. The test results show that the algorithm has fast search speed and high efficiency,can optimize the network performance in a good way,and achieve the goal of congestion control.关键词
网络拥塞控制/QoS路由/量子遗传算法/网络性能优化Key words
network congestion control/QoS routing/quantum genetic algorithm/network performance optimization分类
信息技术与安全科学引用本文复制引用
王飞..改进的量子遗传算法在网络拥塞控制中的应用[J].现代电子技术,2016,39(6):33-36,4.基金项目
国家自然科学基金下一代互联网安全与隐私保护机制研究 （）
