文献类型：期刊文献

中文题名：基于群体智能的网络信息自组织方式

英文题名：A Novel Self-Organizing Approach to Network Information Exploitation Based on Swarm Intelligence

作者：刘燕[1,2];帅典勋[1,2];柴震川[1,2]

机构：[1]华东理工大学计算机科学系,上海200237;[2]清华大学智能技术与系统国家重点实验室,北京100084

年份：2003

卷号：30

期号：6

起止页码：84

中文期刊名：计算机科学

外文期刊名：Computer Science

收录：CSTPCD;;北大核心:【北大核心2000】；CSCD:【CSCD2011_2012】；

基金：本课题得到国家"九七三"重点基础研究发展规划项目(编号G1999032307);国家自然科学基金重点项目(编号60135010);国家自然科学基金项目(编号60073008);清华大学智能技术和系统国家重点实验室开放课题基金的资助和支持

语种：中文

中文关键词：计算机网络;群体智能;网络信息;自组织方式;广义细胞自动机;信息资源

外文关键词：Information exploitation. Generalized cellular automata. Swarm intelligence, Self-organization

摘要：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 imple- mentation.
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.