摘要
文章主要对在校园网络优化中的应用加以研究,以降低全网通信负荷和网络延迟为目标,对树形交换式以太网进行网络划分,对网络设备基于通信关系将划分到所设计的拓扑结构进行最优确定,实现全终端网络的遗传优化布置,从而进一步提高模拟退火遗传算法在实际网络优化工程中的应用。
This paper mainly on the application in the campus network optimization research to reduce the network communication load and network delay as the goal, to tree exchange Ethernet network division, network equipment based on communication between will be divided into topological structure of the designed optimal determination, implementation of all terminal network of genetic optimization layout, so as to further improve the simulated annealing genetic algorithm in the actual network optimization in engineering application.
出处
《信息通信》
2016年第9期6-8,共3页
Information & Communications
基金
湖北省教育厅科学研究计划项目:基于模拟退火遗传算法的网络优化应用研究(编号B2014201)
2015年武汉船院院级课题立项项目:一种基于集成免疫小波神经网络计算机病毒检测方法(编号2015y11)
关键词
遗传算法
网络优化
编码
genetic algorithm
network optimization
coding