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蚁群算法的研究现状和应用及蚂蚁智能体的硬件实现
引用本文:忻斌健,汪镭,吴启迪.蚁群算法的研究现状和应用及蚂蚁智能体的硬件实现[J].同济大学学报(自然科学版),2002,30(1):82-87.
作者姓名:忻斌健  汪镭  吴启迪
作者单位:同济大学,信息与控制工程系,上海,200092
基金项目:国家自然科学基金资助项目 ( 79970 0 30 6 0 10 40 0 47980 0 0 0 8),国家高性能计算基金资助项目 ( 995 2 0 )
摘    要:概要地对近年来引起广泛兴趣的蚁群算法的研究现状进行了考察,简要地介绍了几种修正的蚁群算法,如蚁群系统(ACS)、最大最小蚁群系统(MMAS),具有变异特征的蚁群算法,与遗传算法相结合的蚁群算法等;大致介绍了几种蚂蚁智能体的硬件实现,并且以蚁群算法在电力系统中的几个应用为例,考察了它在实际应用问题相结合时的一些情况。

关 键 词:蚁群算法  最大最小蚁群系统  组合优化  变异特征  蚂蚁智能体  模拟进化算法
文章编号:0253-374(2002)01-0082-06
修稿时间:2000年11月10

Research and Applications of Ant Colony System Algorithm and Its Hardware Realization
XIN Bin-jian,WANG Lei,WU Qi-di.Research and Applications of Ant Colony System Algorithm and Its Hardware Realization[J].Journal of Tongji University(Natural Science),2002,30(1):82-87.
Authors:XIN Bin-jian  WANG Lei  WU Qi-di
Abstract:In this paper the actual research status of ant colony system,which has in recent years aroused wide interests,is summarily reviewed.Several types of modified ant colony system algorithmare are briefly introduced,such as ant colony system (ACS),max-min ant system (MMAS),ant colony algorithm with mutation features,ant colony algorithm integrated with genetic algorithm and so on.And as examples,based on several applications in the power system,this paper investigates some situations combined with applications.Also some hardware realizations of ant as single agent are roughly brought forth.
Keywords:ant colony algorithm  ant colony system  combinational optimization
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