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1、ResearchonnavigationsystemofAntAlgorithmandachieveonMINIGUIAbstractFirstofall,theintroductionofvehiclenavigationsystemsdevelopmentanalysisofthedomesticcarnavigationresearch.Andcomprehensiveanalysisandcomparisonofthecurrentlyusedpathplanningandnavigationandpositioningtechnology,combiningthe
2、designneedsanavigationsystemandamorereasonablepathplanningtheoveralldesignprogram.Apopulation—basedsimulatedevolutionaryalgorithmcalledantcolonyoptimization(ACOforshort)wasproposedin1992byItalianresearchersDorigoM.,ManiezzoV.a(chǎn)ndColorniA.Manyscholarsareappliedtothefieldsofcombinatorialoptim
3、ization,networkrouting,functionaloptimization,datamining,andpathplanningofrobotetc,andgoodeffectsofapplicationaregained.Antcolonyoptimization(ACO)asanovelnature—inspiredmetaheuristicbasedonthephenomenonofrealantsforagingbehavior.ACObelongstOtheswarmintelligence,whichobtainedencouragingresu
4、ltsforthesolvingofNP—hardcombinatorialoptimizationproblems.Now,ACOhasbecomeanindependentbranchofintelligentcomputationandhasbeendiscussedasaspecialsessioninmanyinternationalconferences.MoreandmoreresearchershavepaidattentiontoACO.Inrecent15years,ACOhasdevelopedquicklyanditsapplicationfield
5、sextendmuchwiderfromtravelingsalesmanproblem(TSP)toschedulingproblems,assignmentproblems,andvehicleroutingproblems,etc.Incontrast,theresearchonACOtheorydevelopsslowly,especiallyintheaspectofparameterssettingandtheproofofconvergence.Basedontheabovequestions,startfromthestartwiththebasicantc
6、olonyalgorithm,introducethebasicconceptofantcolonyalgorithmandtheory,followedbyintroductionofthebasicantcolonyalgorithmtOimprovetheantcolonyalgorithm,theantcolonyalgorithmbasedontime,andbasedontimealgorithmofantcolonyalgorithmforthesetypesofTSPproblem,whichtheantcolonyalgorithmbasedonIIIti
7、mearethemselvesbasedonantcolonyalgorithmbasedontheforanumberofsmallimprovements,andgiveaconvergenceproof,inmathematicsreasoningprocess,wecanseethattheantcolonyalgorithmbasedontheoftheimprovedalgorithmhasaverygoodconvergence.Parametersandselectionoftextalsogive