基于群体智能的网络信息自组织方式  

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] 

机构地区：[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

出　　处：《计算机科学》2003年第6期84-87,125,共5页Computer Science

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

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.

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 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]