文档介绍：第34卷第4期2016年7月吉林大学学报(信息科学版)JournalofJilinUniversity(InformationScienceEdition):1671-5896(2016)04-0468-09人工蜂群算法及其应用霍凤财,杜颖,刘洋(东北石油大学电气信息工程学院,黑龙江大庆163318)摘要:为促进人工蜂群算法理论和应用的发展,在分析人工蜂群算法的基本原理基础上,针对算法的不足,全面地归纳了国内外学者对算法的改进研究,对算法的蜜源初始化、更新策略的改进、调整策略的改进、适应度函数的选择以及与其他算法的融合进行综述,提出了更有效的改进策略。同时从多方面综述了人工蜂群算法的应用,并对人工蜂群算法的发展方向进行了总结和展望。关键词:人工蜂群算法;群体智能;综述;研究现状中图分类号:TP18文献标识码:AArtificialBeeColonyAlgorithmandItsApplicationHUOFengcai,DUYing,LIUYang(DepartmentofElectricalInformationEngineering,NortheastPetroleumUniversity,Daqing163318,China)Abstract:Asanewtypeofintelligentoptimizationmethod,artificialcolonyalgorithmpossessesavastofadvantages,suchashavingfewerparameters,fasterspeedofconvergence,,becauseofmanyscholars’concern,,thebasicprincipleofartificialcolonyalgorithmisintroduced;Secondly,ingsofthealgorithm,prehensivelysummarizedthroughouttheresearchofdomesticandoverseas,anditmainlyconcentratedonthebeeinitializationmethod,theimprovementofupdateandadjuststrategy,binationwithotheralgorithms;Thirdly,theapplicationsofartificialcolonyalgorithmarereviewedfrommanyaspects;Finally,:artificialbeecolonyalgorithm;swarmintelligence;review;researchstatus0引言自群体智能作为一个理论被正式提出以来,就以其独特的优越性逐渐吸引