基于改进遗传算法的铁路纵断面优化分析

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1、一一————————————————————————————————————————————————————————一_—一ABSTRACTDuringrailwaydesignprocess，profilealignmentisaveryimportantitern，becauseitwilldirectlyaffecttheinvestmentofconstructionandoperationofaline．Therefore，conductingthestudyofprofileoptimizationcanbringpracticalsocialandeconom

2、icbenefits．Withfurtherstudy,researchersathomeandabroadhaveproposedmanyprofileoptimizationmodelandalgorithmtobettermeettheneedsofpracticalengineering．Throughanalysisandcomparisonofvariouskindsofmethods，theoptimizationmodelbasedonthesatisfactorydegreetheoryhasbeenestablished．Andimprovedgenet

3、icalgorithmhasbeendesignedtosolvethemodel．Mainlyworksofthispaperareasfollowing：(1)Inordertocorrectlyleadslopetrend，preliminaryfeasibleregionwhichisdeterminedbymaximumlimitinggradienthavebeenusedtomodifyprofilegroundlinewhichisupsanddowns．Then，groundlinewhichwasmodifiedhasbeensmoothedtodete

4、rminethenumberofslopechangingpointsautomatically．Theprofileplanhasbeencreatedbyintegratinguniformdistributionmethod，fittingmethodandnormaldistributionmethod．Baseonthehypothesisthattheplanmeetthedemandsofconstraintconditionandpopulationdiversity,initialpopulationoftheimprovedgeneticalgorith

5、mhavebeenformed．(2)Usingtheslopechangingpoints，mileageanddesignelevationasvariableofoptimizationdesign，satisfactorydegreetheoryhasbeeninducedtoestablishprofileoptimizationmodel，whichcallcomprehensivelyconsiderbothconstructionandoperation．Baseonanalysisofconnotationofprofiledesign，multi—obj

6、ectivefitnessfunctionshavebeenestablished．Singleslopefitnessfunctionhasbeenproposedtodrawintocrossoveroperator,inordertomovingdirectionoftheslopechangingpoints．Variationrangeofmutationoperatorandvirtuesordefectdegreeoftheplanhavebeenrelatedtoacceleratesearchingspeedofthealgorithm．(3)Ontheb

7、asisofprofileoptimizationtheory,usingVC．NETandObjectARX2006，profileoptimizationprogramintegratedwiththensatisfactorydegreetheoryandtheimprovedgeneticalgorithmhasbeendrawnup．Parallelrelationoftheoptimizationalgorithmhasbeendisposedwithmultithreadtechnologywhich