基于FFO算法的QoS组播路由服务性能优化研究  

Research on an Optimization of QoS Multicast Routing Service Performance Based on FFO Algorithm

作　　者：崔玉胜[1] CUI Yusheng(School of Information Management, Minnan Institute of Technology,Shishi,Fujian 362700)

机构地区：[1]闽南理工学院信息管理学院,福建石狮362700

出　　处：《绵阳师范学院学报》2021年第2期88-93,共6页Journal of Mianyang Teachers＇ College

基　　金：2019年福建省中青年教师教育科研项目:(JAT190862).

摘　　要：QoS组播路由服务性能的优化是全球性挑战的话题,此次研究针对如何准确求解符合网络质量要求的带宽、延时等约束条件,提出了一种基于FFO算法的QoS组播路由性能优化模型,引入随机嗅觉搜索策略和概率视觉灵敏性定位策略进行算法优化并利用果蝇味道浓度判定函数求解组播路由问题.通过对比7种进化算法在六种场景中的收敛速度和运行时间以及求解质量,证实PVFFO算法具有明显的优势.希望研究为播路由服务性能优化提供参考.QoS multicast routing service performance optimization is a global challenge topic.In this study,we propose a QoS multicast routing performance optimization model based on FFO algorithm,which introduces random olfactory search strategy and probabilistic visual sensitivity localization strategy to optimize the algorithm,and uses Drosophila taste to accurately solve the constraints such as bandwidth and delay that meet the requirements of network quality Degree decision function is used to solve multicast routing problem.By comparing the convergence speed,running time and solution quality of seven evolutionary algorithms in six scenarios,it is proved that pvffo algorithm has obvious advantages.It is hoped that the research can provide a reference for the performance optimization of broadcast routing service.

关 键 词：FFO算法 QOS 组播路由 性能优化 

分 类 号：TP393.03[自动化与计算机技术—计算机应用技术]