计算机应用研究2016，Vol.33Issue(3)：840-842,847,4.DOI:10.3969/j.issn.1001-3695.2016.03.045
基于遗传禁忌算法优化的模糊神经网络垂直切换算法
Fuzzy neural network based on genetic tabu algorithm to optimize vertical switching algorithm
摘要
Abstract
Aimed at the problem of heterogeneous network handover,considered the advantages of genetic algorithm and tabu algorithm,combined the neural network and fuzzy theory,this paper proposed a fuzzy neural network based on genetic tabu al-gorithm (GATS)to optimize the vertical switching algorithm.The algorithm it joined the preliminary judgment module in the process of switch,reduced the system cost and algorithm complexity through the screening of node.It put signal strength,band-width,load and the user terminal speed in fuzzy neural network processing module and used genetic tabu algorithm to optimize, adjusted the parameters of the membership function.Simulation experiments show that,this algorithm can reduce the average response time of pages,provide better service for the user.关键词
异构网络/遗传禁忌算法/模糊理论/神经网络/垂直切换Key words
heterogeneous network/genetic tabu algorithm/fuzzy theory/neural network/vertical switch分类
信息技术与安全科学引用本文复制引用
郭强,朱若函,张晓萌..基于遗传禁忌算法优化的模糊神经网络垂直切换算法[J].计算机应用研究,2016,33(3):840-842,847,4.基金项目
山东省自然科学基金资助项目 （）
