基于群体智能框架理念的遗传算法总体模式描述  

General mode description genetic algorithms based on a framework of swarm intelligence

作　　者：康琦[1] 汪镭[1] 刘小莉[1] 吴启迪[1] 

机构地区：[1]同济大学电子与信息工程学院,上海200092

出　　处：《智能系统学报》2007年第5期42-47,共6页CAAI Transactions on Intelligent Systems

基　　金：国家重点基础研究发展计划资助项目(2002CB312202);国家自然科学基金资助项目(70531020;50408034);国家发改委CNGI计划资助项目(CNGI-04-15-5A-2)

摘　　要：在各类群体智能算法中,不同的智能体群往往具有不同的外在表现形式,但他们所表现出来的智能计算模式具有相对的统一性.为了验证这一理念并从宏观的视角来研究群体智能理论,对群体智能中各类智能计算模式进行总结提炼,提出了群体智能计算的一种内在统一的总体框架模型,并以遗传算法为例加以具体论述与验证,给出了基于群体智能框架理念的遗传算法总体模式描述.Different computational modes of agents take on relatively uniform characteristics in different kinds of swarm intelligence algorithms, though they usually have different extrinsic forms. To verify this idea and make further systematic study of swarm intelligence from a more macroscopic angle, various kinds of intelligent computational modes in the field of swarm intelligence were identified and are summarized in this paper. Based on this work, a uniform framework describing swarm intelligence is proposed, discussed, and then shown to be valid using a genetic algorithm. Finally, a general description of genetic algorithms is presented based on the idea of a framework of swarm intelligence .

关 键 词：群体智能 框架描述 总体模式 遗传算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]