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1、2009NinthInternationalConferenceonHybridIntelligentSystemsComparisonandAnalysisoftheSelectionMechanismintheArtificialBeeColonyAlgorithmLiBaoJian-chaoZengComplexSystemandComputationalIntelligenceComplexSystemandComputationalIntelligenceLaboratory,TaiyuanUniversi
2、tyofScienceandLaboratory,TaiyuanUniversityofScienceandTechnologyTechnologyTaiyuan,Shanxi,PR.China,030024Taiyuan,Shanxi,PR.China,030024libao@sina.comzengjianchao@263.netAbstract—Artificialbeecolony(ABC)algorithmisanewsection3.Thesimulationresultsobtainedareprese
3、ntedandglobalstochasticoptimizationalgorithmbasedonthediscussedinsection4.Finally,theconclusionisinsection5.particularintelligentbehaviorofhoneybeeswarms,inwhichthereexistsmanyissuestobeimprovedandsolved.WhenII.ARITIFICIALBEECOLONYALGORITHMonlookerbeesexploitin
4、ABCalgorithm,theychoosefoodsourcedependingonthestrategyofproportionalselectionthatA.DescriptionofHoneybeesBehaviourscanresultintheprematureoftheevolutionaryprocess.InthisTheminimalmodelofforagingselectionthatleadstothepaper,inordertoimprovethepopulationdiversit
5、yandavoidemergenceofcollectiveintelligenceofhoneybeeswarmsthepremature,severalselectionstrategies,suchasdisruptiveconsistsofthreeessentialcomponents:foodsources,selectionstrategy,tournamentselectionstrategyandrankemployedforagersandunemployedforagers.Therearetw
6、oselectionstrategy,arecomparedandanalyzedthroughbasicbehaviors:recruitmenttoafoodsourceandthesimulation,andtheresultsshowthatthemodifiedalgorithmabandonmentofafoodsource[1].outperformsthebasicABCalgorithm.1)Foodsources:itrepresentsapositionofsolutionofKeywords-
7、artificialbeecolonyalgorithm;selectionstrategy;optimizationproblem,theprofitabilityoffoodsourceareprematureconvergence;populationdiversityexpressedasfitnessofthesolution.2)Unemployedforagers:therearetwotypesofthem,I.INTRODUCTIONscoutsandonlookers.Theirmaintaski
8、sexploringandArtificialbeecolony(ABC)algorithm,anewswarmexploitingfoodsource.Atthebeginning,therearetwointelligentalgorithm,wasproposedbyKarabog[1]inchoicesfortheunemployedf
