| 基于遗传禁忌算法优化的模糊神经网络垂直切换算法* |
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| 引用本文： | 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). |
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| 作者姓名： | 郭强 朱若函 张晓萌 |
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| 作者单位： | 山东财经大学管理科学与工程学院 济南 250014,山东财经大学管理科学与工程学院 济南 250014,山东财经大学管理科学与工程学院 |
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| 基金项目： | 山东省自然科学基金(编号ZR2011FM022) |
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| 摘 要： | 综合考虑了遗传算法和禁忌算法的优点,将遗传禁忌算法、模糊理论和神经网络相结合,提出了一种基于遗传禁忌算法(GATS)优化的模糊神经网络垂直切换算法GATS-FNN,并在垂直切换的过程中加入了预判决模块,通过节点的筛选降低了系统成本和算法复杂程度。将网络信号强度、网络带宽、网络负载和用户终端移动速度进行了模糊处理,并采用遗传禁忌算法进行优化,调整隶属度函数的参数,仿真结果表明,该算法可以降低页面平均响应时间,为用户提供更好的服务。
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| 关 键 词： | 遗传禁忌算法 模糊理论 神经网络 垂直切换 |
| 收稿时间： | 2014/12/13 0:00:00 |
| 修稿时间： | 2016/1/29 0:00:00 |
Fuzzy neural network based on genetic tabu algorithm to optimize the vertical switching algorithm |
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| Guo Qiang,Zhu Ruohan and Zhang Xiaomeng.Fuzzy neural network based on genetic tabu algorithm to optimize the vertical switching algorithm[J].Application Research of Computers,2016,33(3). |
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| Authors: | Guo Qiang Zhu Ruohan and Zhang Xiaomeng |
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| Affiliation: | Institute of management science and engineering,Shandong University of finance and economics,,Shandong University of finance and economics |
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| Abstract: | This paper considered the advantages of genetic algorithm and tabu algorithm, combined the genetic tabu algorithm, fuzzy theory and neural network, proposed a fuzzy neural network based on genetic tabu algorithm (GATS) to optimize vertical switching algorithm. And in the process of vertical switch joined the preliminary judgment module, through the screening of node reduces the system cost and algorithm complexity. Put signal strength, the network bandwidth, network load and the user terminal speed in fuzzy neural network processing module. Using genetic tabu algorithm to optimize, adjust the parameters of the membership function, the simulation results show that, this algorithm can reduce the average response time of pages, provide better service for the user. |
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| Keywords: | genetic tabu algorithm the fuzzy theory the neural network vertical switch |
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