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ID:40101694
大小:1.43 MB
页数:248页
时间:2019-07-21
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1、SIMULATION-BASEDOPTIMIZATIONByGengDengAdissertationsubmittedinpartialfulfillmentoftherequirementsforthedegreeofDoctorofPhilosophy(MathematicsandComputationinEngineering)attheUNIVERSITYOFWISCONSIN–MADISON2007°cCopyrightbyGengDeng2007AllRightsReservediAbstractComputersimulationsareuse
2、dextensivelyasmodelsofrealsystemstoeval-uateoutputresponses.Thechoiceofoptimalsimulationparameterscanleadtoimprovedoperation,butconfiguringthemwellremainsachallengingproblem.Simulation-basedoptimizationisanemergingfieldwhichintegratesoptimizationtechniquesintosimulationanalysis.Thepar
3、ametercalibrationoroptimizationproblemisformulatedasastochasticprogrammingproblemwhoseobjectivefunctionisanassociatedmeasurementofanexperimentalsimulation.Duetothecomplexityofthesimulation,theobjectivefunctionistypically(a)subjecttovariouslevelsofnoise,(b)notnecessarilydifferen-tiabl
4、e,and(c)computationallyexpensivetoevaluate.Contemporarysimulation-basedoptimizationmethodsincluderesponsesurfacemethodology,heuristicmethodsandstochasticapproximation.Ouroptimizationmethodsproposedinthedissertationareadaptedfromthederivative-freeoptimizationapproach,whichdoesnottryt
5、outilizeordi-rectlyestimatethegradientvalue.Accordingly,wecanavoidthesensitivegradientestimationprocess.Anotherimportantfeatureofourmethodsistousereplicatedsamplestoreducethenoiselevel.Theideaissimilartothatofthesample-pathoptimizationmethod,exceptthatwehaveappliedBayesianinferencet
6、oolsinanovelfashiontocomputevariablenumbersofiireplicationsfordifferentpoints.Thedissertationworkiscomprisedofbothoptimizationalgorithmdesignandreal-worldapplications.Wehaveformulatedthesimulation-basedop-timizationasastochasticminimizationproblem,withtheexpectationformofthestochasti
7、cfunction.SimpleconstraintsofparametersandseparatesituationsconcerningimplementingCommonRandomNumbers(CRN)areconsidered.Weconcentrateonalgorithmsforproblemswherethenumberofsimulationparametersissmall.Weproposeatwo-phaseoptimizationframeworkforsimulation-basedoptimization.PhaseIisagl
8、obalexplorationstep
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