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1、AntColonyalgorithmanditsapplicationinautomatictestingpathoptimizationforPCBAbstractWiththebirthofsometheorywhichiscompletelydifferentfromclassicmathematicalprogrammingprinciple,bionicoptimizationalgorithmthatpeopletrytosimulatenaturalecologicalsystemmechanismtosolvecomplexoptimizationpr
2、oblemappears.,inrecentyears,therapiddevelopmentoftheevolutionaryalgorithmhaswiderangeofapplicationsinpathoptimizationresearchfields.Thispaperbasedontheapplicationofthebionicoptimizationalgorithmresearchandtransplantation,trytomaketheantcolonyalgorithmforapplicationintestpathplanningandt
3、heproductionoperationprocessofflyprobetestsystem,getamorelucrativeoptimizationschemeofPCBtestsystemofpathplanning.Thispaperfirstlyintroducedseveralcommonintelligentalgorithmofthepathoptimizationproblem,introducedandanalyzedtheoptimizedintelligencealgorithmseveralpathsinprinciple,charact
4、eristicsandapplication,andbasedonthis,thispaperputsforwardtheapplicationoftheantcolonyalgorithmintheoptimizationpath,throughthecomparisonandanalysisofTSP,theresultsshowthattheantcolonyalgorithminthepathoptimizationisfeasible,andthepathoptimizationinreducedthetestpathsoastoachievetheeffe
5、ctoftesttimeshorten.Thenthispaperdescribedtheprinciple,realization,complexityanalysisofantcolonyalgorithm,andchooseprinciple,describestheapplication,principle,characteristicandsoftwareandhardwarefeaturesindetailsofflyingprobetest.Finallymakeapplicationofgeneralantcolonyalgorithminthetes
6、tingpathoptimizationofPCBflyingprobesystem,playsantcolonyalgorithmadaptivecharacteristics,speedupthedetectionspeed,realizetheefficientuseofsystemresources,comparetheexperimentalresultsandtheexperimentalresultsofthesequentialtestingrealization,verifythattheantcolonyoptimizationalgorithmt
7、ooptimizethePCBtestingpath,isbetterthanthetraditionaltestingpathofPCBexperimentresultsinthedetectionspeedandrealtime.ItshowsthatthePCBautomatictestpathoptimizationdesignbasedonantcolonyalgorithmiscouldrealize.Thisdesignhastheverygoodgeneralization,canflexibilitytochangeparamete