大数据时代群体智能算法的优越性研究

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英文篇名：Research on the superiority of swarm intelligence algorithm in the era of big data 作者：吴宗卓 英文作者：Wu Zongzhuo;Shaanxi Institute of Technology; 关键词：大数据时代 ; 群体智能算法 ; NP难题 ; 网络群体智能 英文关键词：big data era;;swarm intelligence algorithm;;NP problem;;network group intelligence 中文刊名：WXHK 英文刊名：Wireless Internet Technology 机构：陕西国防工业职业技术学院; 出版日期：2019-01-25 出版单位：无线互联科技 年：2019 期：v.16;No.150 语种：中文; 页：WXHK201902047 页数：2 CN：02 ISSN：32-1675/TN 分类号：116-117

摘要

当前,互联网发展正由"知识需求"向"智能需求"阶段转变,网络数据呈现指数级增长,既然进入了大数据时代,在此支撑下形成了网络交互的"大群体"空间,其协同、可靠性需要群体智能的方法予以解决,而以粒子群、蚁群算法为代表的群体智能算法具有较好的鲁棒性、灵活性,这是化解复杂问题的关键所在。针对此,文章以大数据时代的网络群体智能为研究基点,结合群体智能算的应用原理及特点,阐释其在NP难题中的应用优势性,以为网络信息交互的安全性提供有效支撑。
        At present, the development of the Internet is changing from the "knowledge demand" to the "smart demand" stage. The network data has grown exponentially. Since it entered the era of big data, under this support, a "large group" space for network interaction has been formed. Collaborative and reliability need to solve the problem of group intelligence. The swarm intelligence algorithm represented by particle swarm and ant colony algorithm has better robustness and flexibility. The key to solving complex problems is this.The network group intelligence in the era of big data is the research basis, combined with the application principle and characteristics of the group intelligent calculation, explaining its application advantages in the NP problem, and providing effective support for the security of network information interaction.

引文

[1]王华,赵东杰,杨海涛,等.大数据时代下网络群体智能研究方法[J].计算机与现代化,2015(2):1-6.
    [2]徐聂甜子.大数据时代下网络群体智能研究[J].传播力研究,2018(20):228.
    [3]吴虎胜,张凤鸣,吴庐山.一种新的群体智能算法—狼群算法[J].系统工程与电子技术,2013(11):2430-2438.
    [4]杨义先,李丽香,彭海朋,等.群体智能算法及其在信息安全中的应用探索[J].信息安全学报,2016(1):39-49.