基于遗传粒群路径优化的网络拥塞控制方法  

Network congestion control method based on GAPSO path optimization

作　　者：孔金生[1] 胡合伟[1] 王娜娜[1] 

机构地区：[1]郑州大学电气工程学院,郑州450001

出　　处：《计算机工程与应用》2009年第15期144-146,共3页Computer Engineering and Applications

基　　金：河南省杰出青年计划项目

摘　　要：将粒群和遗传算法相融合,提出了基于遗传粒群路径优化的网络拥塞控制方法,该方法在满足带宽、时延、费用多项QoS指标的条件下对负载进行路径优化,以负载均衡分布函数和资源消耗函数作为优化目标,旨在消耗尽可能少的网络资源的同时,也使网络负载的分布尽量均衡,从而避免网络拥塞。仿真结果表明该方法的有效性和可靠性。A network congestion control method is put forward based on GAPSO path optimization by combining particle swarm optimization algorithm and genetic algorithm.The method optimizes the path of network load and makes network load balancing and resource consumption as aim function to avoid network congestion by balancing the load and minimizing network resource consumption in the condition of meeting bandwidth,delay and cost constrains.The simulation results show that the method is effective and reliable.

关 键 词：遗传粒群算法 QOS路由 路径优化 网络拥塞控制 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]