%0 Journal Article
%T A Novel Self-Organizing Approach to Network Information Exploitation Based on Swarm Intelligence<br>基于群体智能的网络信息自组织方式
%A LIU Yan SHUAI Dian-Xun CHAI Zhen-Chuan
%A <br>刘燕
%A 帅典勋
%A 柴震川
%J 计算机科学
%D 2003
%I 
%X We design and implement a novel information self-organization model based on Generalized Cellular Automata (GCA), to accomplish network information content self-organization employing the idea of swarm intelligence. Through constructing correspondent cell rules and the mapping of complex network environment to our GCA, reasonable distribution of network information from different information sources can be achieved on different notes according to dynamic variation of local network circumstances. Simulation experiment results show many advantages of our methodology over present approaches in terms of efficiency, adaptability, reliability, and easy hardware implementation.
%K Information exploitation
%K Generalized cellular automata
%K Swarm intelligence
%K Self-organization<br>计算机网络
%K 群体智能
%K 网络信息
%K 自组织方式
%K 广义细胞自动机
%K 信息资源
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=E55471D6306D3BB6&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=B31275AF3241DB2D&sid=656F8C8401D91023&eid=117F81797AB182FC&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=14