大数据时代群体智能算法的优越性研究

Research on the superiority of swarm intelligence algorithm in the era of big data

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.