简介:由Synechcoccus在Ni的简历累积上影响因素在这篇论文被学习。当到干燥重量集中ofSynechcoccus的Ni的集体比率是16-18%时,简历累积在附近是在水的solution.Bioaccumulation数量的80min的Ni的使平衡时间到达了最大值。Bioaccumulation数量与增加pH增加了。最佳pHwas9-10和更高的pH导致了Ni的降水(哦)_2。Bioaccumulation数量被在35℃到达他们的optima的温度和轻紧张也影响,无生命的水藻的3000Ixrespectively.Bioaccumulation比生活水藻的大。
简介:Asystematic,efficientcompilationmethodforqueryevaluationofDeductiveDatabases(DeDB)isproposedinthispaper.Inordertoeliminateredundancyandtominimizethepotentiallyrelevantfacts,whicharetwokeyissuestotheefficiencyofaDeDB,thecompilationprocessisdecomposedintotwophases.Thefirstisthepre-compilationphase,whichisresponsiblefortheminimizationofthepotentiallyrelevantfacts.Thesecond,whichwerefertoasthegeneralcompilationphase,isresponsiblefortheeliminationofredundancy.Therule/goalgraphdevisedbyJ.D.Ullmanisappropriatelyextendedandusedasauniformformalism.Twogeneralalgorithmscorrespondingtothetwophasesrespectivelyaredescribedintuitivelyandformally.
简介:Inthispaper,LCPisconvertedtoanequivalentnonsmoothnonlinearequationsystemH(x,y)=0byusingthefamousNCPfunction-Fischer-Burmeisterfunction.NotethatsomeequationsinH(x,y)=0arenonsmoothandnonlinearhencedifficulttosolvewhiletheothersarelinearhenceeasytosolve.ThenwefurtherconvertthenonlinearequationsystemH(x,y)=0toanoptimizationproblemwithlinearequalityconstraints.AfterthatwestudytheconditionsunderwhichtheK-TpointsoftheoptimizationproblemarethesolutionsoftheoriginalLCPandproposeamethodtosolvetheoptimizationproblem.Inthisalgorithm,thesearchdirectionisobtainedbysolvingastrictconvexprogrammingateachiterativepoint,However,ouralgorithmisessentiallydifferentfromtraditionalSQPmethod.Theglobalconvergenceofthemethodisprovedundermildconditions.Inaddition,wecanprovethatthealgorithmisconvergentsuperlinearlyundertheconditions:MisP0matrixandthelimitpointisastrictcomplementaritysolutionofLCP.Preliminarynumericalexperimentsarereportedwiththismethod.
简介:Inthispaper,weproposeanewartificialantalgorithmforsolvingconstrainedoptimizationproblemsingeneralcase.Numericalexamplesshowthatitiseffectiveandrobust.
简介:AbstractInthispaper,anewSQPmethodforinequalityconstrainedoptimizationisproposedandtheglobalconvergenceisobtainedunderverymildconditions.
简介:Inordertosolvetheconstrainedglobaloptimizationproblem,weusepenaltyfunctionsnotonlyonconstraintsbutalsoonobjectivefunction.Thenwithintheframeworkofintervalanalysis,anintervalBranch-and-Boundalgorithmisgiven,whichdoesnotneedtosolveasequenceofunconstrainedproblems.Globalconvergenceisproved.Numericalexamplesshowthatthisalgorithmisefficient.
简介:Inthispapertheeffectsofthecondenserdesignparameters(suchasturbineinletcondition.turbinepowerandcondenserpressure)onheattransferarea,coolingwaterflow-rate.condensercostandspecificenergygenerationcostarestudiedforsurfacetypecondenser.Theresultsaregiveninthetextandalsoshownasdiagrams.
简介:Abriefsummaryonandcomprehensiveunderstandingoffuzzyoptimizationispresented.Thissummaryismadeonaspectsoffuzzymodellingandfuzzyoptimization,classificationandformulationforthefuzzyoptimizationproblems,modelsandmethods.Theimportanceofinterpretationoftheproblemandformulationoftheoptimalsolutioninfuzzysenseareemphasizedinthesummaryofthefuzzyoptimization.
简介:BSplineInterpolationBasedonOptimization①DejunSongXinxiongZhuDepartmentofManufacturingEngineeringBeijingUniversityofAeronautic...
简介:AbstractThepurposeofthearticleistoformulate,underthel_∞riskmeasure,amodelofportfolioselectionwithtransactioncostsandtheninvestigatetheoptimalstrategywithintheproposed.Thecharacterizationofaoptimalstrategyandtheefficientalgorithmforfindingtheoptimalstrategyaregiven.
简介:ThedesignofanOLAPsystemforsupportingreal-timequeriesisoneofthemajorresearchissues.Oneapproachistousedatacubes,whicharepre-computedmultidimensionalviewsofdatainthedatawarehouse.Aninitialsetofdatacubescanbederived.fromwhichtheanswertoeachfrequentlyaskedquerycanberetrieveddirectly.However,therearetwopracticalproblemsconcerningthedesignofacubebasedsystem:1)themaintenancecostofthedatacubes,and2)thequerycosttoansweraselectedsetoffrequentlyaskedqueries.MaintainingadatacuberequiresdiskstorageandCPUcomputation,Sothemaintenancecostisrelatedtothetotalsizeofthedatacubesmaterialized,andthuskeepingalldatacubesisimpractical.Thetotalsizeofcubesmaybereducedbymergingsomecubes.However,theresultinglargercubeswillincreasethequerycostofansweringsomequeries.Iftheboundsonmaintenancecostandquerycostarestrict.someofthequeriesneedtobesacrificed.Anoptimizationproblemindatacubesystemdesignhasbeendefined.Withamaintenance-costboundandaquery-costboundgivenbytheuser,itisnecessarytoopti-mizetheinitialsetofdatacubessuchthatthesystemcanansweramaximumnumberofqueriesandsatisfythebounds.ThisisanNP-completeproblem.ApproximatealgorithmsGreedyRemoving(GR)and2-GreedyMergingwithMultiplepaths(2GGM)areproposed.Experimentshavebeendoneonacensusdatabaseandtheresultsshowthatourapproachinbotheffbctiveandefficient.
简介:Thispaperpresentsnonmonotonicquasi-Newtonalgorithmsviatwopre-conditionalcurvilinearpaths,thepreconditionalmodifiedgradientpathandtheprecon-ditionaloptimalpath,forunconstrainedoptimizationproblem.WeemploythestableBunch-Parlettfactorizationmethodtoformtwocurvilinearpathsveryeasily.Thenonmonotonecriterionisusedtospeeduptheconvergenceprogressinthecontoursofobjectivefunctionwithlargecurvature.Theoreticalanalysesaregivenwhichprovethattheproposedalgorithmsaregloballyconvergentandhavealocalsuperlinearcon-vergencerateundersomereasonableconditions.Theresultsofnumericalexperimentsarereportedtoshowtheeffectivenessoftheproposedalgorithms.
简介:为第二使用订Dini上面的方向性的衍生物的LC非强迫的优化问题介绍二个算法。方法的简洁使用并且表现;重复功能的相关性质的讨论。
简介:Itisproposedthatdoublelevelprogrammingtechniquemaybeadoptedinsynthesisstrategy.Optimizationofheatexchangernetworkstructuralconfiguration(themasterproblem)maybesolvedattheupperlevel,leavingtherestoperatingconditions(theslaveproblem)beingoptimizedatthelowerlevel.Withtheuniquenessinmind,anHENsynthesisexpertsystemmaybeemployedtoaddressboththelogicalconstraintsandtheglobaloperationparameters′optimizationusingenhancedsequentialnumberoptimizationtheory.Casestudiesdemonstratethatthesynthesisstrategyproposedcaneffectivelysimplifyboththeproblem-solvingandthesynthesisprocess.Thevalidityofthestrategyrecommendedisevidencedbycasestudies′resultscompared.
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