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基于变异二次蚁群算法的QoS选播路由算法.docx

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基于变异二次蚁群算法的QoS选播路由算法 一、引言 WiththecontinuousdevelopmentoftheInternetandmultimediatechnology,videoserviceshavegraduallybecomeanindispensablepartofourdailylife.Withtheincreaseinthenumberofvideoservices,theproblemofQoSselectionroutinghasbecomeincreasinglyprominent.ThetraditionalroutingmethodsbasedonshortestpathalgorithmcannotmeettheneedsofQoSrouting.Therefore,thispaperproposesaQoSselectionroutingalgorithmbasedonimprovedantcolonyoptimizationalgorithm. 二、QoS选播路由问题分析 InQoSselectionrouting,themainobjectiveistoselectapathwithhigherQoStotransmitdatapackets.QoScanbemeasuredandevaluatedbymultipleindicators,suchasdelay,packetlossrate,signal-to-noiseratio,andbandwidth.ThetraditionalroutingalgorithmbasedonshortestpathcannotensureQoS.Therearemanyfactorssuchasthenetworktopology,bandwidth,anddelay,whichaffectQoS.Therefore,QoSselectionroutingshouldconsiderthecomprehensiveimpactofvariousindicatorsanddynamicallyselectroutes. 三、二次变异蚁群算法介绍 Antcolonyoptimizationalgorithmisatypicalnature-inspiredoptimizationalgorithm,whichiswidelyusedinsolvingcomplexoptimizationproblems.Thebasicideaofantcolonyoptimizationalgorithmistosimulatetheforagingbehaviorofantsinnature.Intheprocessofsearching,antscanfindtheshortestpathtofoodthroughpheromonecommunicationandsocialcooperation. Theimprovedantcolonyoptimizationalgorithmisasecond-ordermutationalgorithm,whichusesthemutationoperatortoupdatethepheromoneforagingbehaviorofants,insteadofdirectlyupdatingthepheromonetrail.Thisalgorithmaddsaglobalsearchmechanismtothetraditionalantcolonyoptimizationalgorithm.Itintroducestheideaofthegeneticalgorithm,usessecond-ordermutationoperatorstoupdatethepheromonetrail,anddynamicallyadjuststhebalancebetweenlocalsearchandglobalsearch. 四、基于二次变异蚁群算法的QoS选播路由算法设计 1.Variabledefinition Definethepheromonerepresentationoftheedgeijonthekthpathbythepheromonematrixτ(ij,k). 2.Initialization Initially,setthepheromonematrixτ(ij,k)toasmallpositivevalue. 3.Antcolonygeneration (1)Antmovement Eachantselectsthenextnodeaccordingtotheprobabilitiescalc