多域虚拟网络映射的混合遗传算法模型的研究  

Research on hybrid genetic algorithm model of multi-domain virtual network mapping

作　　者：周自强 高伟[2] 王尧 杨大哲 ZHOU Zi-qiang;GAO Wei;WANG Yao;YANG Da-zhe(State Grid Shanxi Electric Power Research Institute,Taiyuan 030001,China;State Grid Shanxi Electric Power Company,Taiyuan 030021,China)

机构地区：[1]国网山西省电力公司电力科学研究院,太原030001 [2]国网山西省电力公司,太原030021

出　　处：《信息技术》2025年第2期21-27,共7页Information Technology

基　　金：山西省电力科学基金项目(SX2202345)。

摘　　要：针对多域虚拟网络映射滞后的问题,文中提出一种混合遗传算法,该方法将寻求局部最优的理论引入到常规混合遗传算法中,采用混合遗传算法与虚拟网络映射算法的优化组合来解决互联网中存在的问题,通过建立的算法模型检测数据,为进一步提高互联网的动力提供了支持,并引入具有加速功能的信息更新模块,信息更新模块包括加速器、不间断迭代模块、逻辑模块和数据传输通道,大大提高了数据信息计算能力。实验结果表明,通过该系统技术检测出的数据精准度高达90%以上,表明该算法对于解决如今的互联网问题具有很高的准确性。A hybrid genetic algorithm is proposed to address the problem of delayed mapping in multi-domain virtual networks.This method introduces the theory of seeking local optima into conventional hybrid genetic algorithms,and uses an optimized combination of hybrid genetic algorithms and virtual network mapping algorithms to solve problems in the Internet.The established algorithm model detects data,providing support for further driving the power of the internet,and an information update module with acceleration function is introduced,which includes an accelerator,uninterrupted iteration module,logic module,and data transmission channel,greatly improving the data information calculation ability.The experiment results show that the accuracy of the data detected through the system technology is over 90%,indicating that the algorithm has high accuracy in solving current Internet problems.

关 键 词：混合遗传算法 多域虚拟网络映射 信息更新模块 网络资源效率 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]