简介:Inthispaper,wefocusonthereal-timeinteractionsamongmultipleutilitycompaniesandmultipleusersandformulatereal-timepricing(RTP)asatwo-stageoptimizationproblem.Atthefirststage,basedoncostfunction,weproposeacontinuoussupplyfunctionbiddingmechanismtomodeltheutilitycompanies’profitmaximizationproblem,bywhichtheanalyticexpressionofelectricitypriceisfurtherderived.Atthesecondstage,consideringthatindividuallyoptimalsolutionmaynotbesociallyoptimal,weemployconvexoptimizationwithlinearconstraintstomodelthepriceanticipatingusers’dailypayoffmaximum.Substitutetheanalyticexpressionofelectricitypriceobtainedatthefirststageintotheoptimizationproblematthesecondstage.Usingcustomizedproximalpointalgorithm(C-PPA),theoptimizationproblematthesecondstageissolvedandelectricitypriceisobtainedaccordingly.WealsoprovetheexistenceanduniquenessoftheNashequilibriuminthementionedtwostageoptimizationandtheconvergenceofC-PPA.Inaddition,inordertomakethealgorithmmorepractical,astatisticalapproachisusedtoobtainthefunctionofpriceonlythroughonlineinformationexchange,insteadofsolvingitdirectly.TheproposedapproachoffersRTP,powerproductionandloadschedulingformultipleutilitycompaniesandmultipleusersinsmartgrid.Statisticalapproachhelpstoprotectthecompany’sprivacyandavoidtheinterferenceofrandomfactors,andC-PPAhasanadvantageoverLagrangianalgorithmbecausetheformerneednotobtaintheobjectionfunctionofthedualoptimizationproblembysolvinganoptimizationproblemwithparameters.Simulationresultsshowthattheproposedframeworkcansignificantlyreducepeaktimeloadingandefficientlybalancesystemenergydistribution.
简介:社会风险分类是为社会风险感觉的一个基本、复杂的问题。进行社会风险分类,Tianya论坛帖子作为数据来源,和四种代表被选择:字符串表示,术语频率表示,TF-IDF表示和BBS帖子的分布式的表示被使用。用作为距离度量标准编辑距离或余弦类似,四个k近邻居(kNN)分类器基于不同代表被开发并且比较。由于词顺序的优先级和神经网络模型段向量的语义抽取,kNN为社会风险分类由段向量(kNN-PV)表演有效性基于分布式的表示产生了。而且,通过不同重量,kNN-PV作为一个整体模型与另外的三个kNN分类器被相结合改进社会风险分类的表演。通过蛮力格子搜索方法,最佳的重量被分到不同kNN分类器。与kNN-PV相比,试验性的结果表明整体方法的Macro-F显著地为社会风险分类被改进。
简介:Itiswellknownthatthetransientbehaviorsofthetraditionaladaptivecontrolmaybeverypooringeneral,andthattheadaptivecontroldesignedbasedinswitchingbetweenmultiplemodelsisanintuitivelyappealingandpracticallyfeasibleapproachtoimprovethetransientperformances.Inthispaper,weshallprovethatforatypicalclassoflinearsystemsdisturbedbyrandomnoises,themultiplemodelbasedleast-equares(LS)adaptiveswitchingcontrolisstatbleandconvergentandhasthesameconvergencerateasthatestablishedforthestandardleast-squares-basedself-tunningregulators.Moreover,themixedcasecombiningadativemodelswithfixedmodelsisalsoconsidered.
简介:这份报纸处理同步路径列在后面多重同质的underactuated的问题自治在水下车辆(AUV)。奉献控制法律被分成二个信封:一个人正在驾驶个人在水下追踪预定义的路径的车辆,和其它正在保证要同步的多重车辆的追踪的路径,借助于在多车辆通讯拓扑学的限制下面的分散的速度改编。与这二任务明确的表达,几何路径列在后面在Lyapunov理论和backstepping技术上被造,当把舵手行为注入经典单个路径追随者控制时。路径参数的同步被从线性代数学,图理论和非线性的控制理论使用工具的混合物到达。有最小化的通讯变量的直接内部车辆的速度改编上的一个简单却有效的控制图案,使multi-AUV系统能被同步并且稳定进一不变歧管,并且所有速度作为一个副产品收敛到需要的任务。模拟结果说明法律建议了的同步路径追随者控制的表演。
简介:在许多国家的基础结构设备反复受到了自然或导致人的灾难。国际帮助机构例如统一NationsDevelopment程序(UNDP),美国帮助国际开发(USAID),日本InternationalCooperation机构(JICA)和世界存国际帮助开发(IDA),正在努力在破坏国家的重建帮助。发展机构通常面对选择并且实现在各种各样的部门被需要的相关优先级基础结构工程的问题。通常也在决策进程有几个关键本地播放器。Inmany盒子,这些主要决定制造者有导致冲突并且从而妨碍重建过程的矛盾的目的。响应这种问题,一条有效途径在多重标准决定分析(MCDA)的地以内被开发了,分析层次过程(AHP),那能在优先考虑工程实现指定目标和目的帮助决定制造者。用AHP途径,当使用这种灵活MCDA技术时,选择基础结构工程的问题系统地被处理。这条途径考虑可能的不确定性和聚会当有技术或历史的数据的缺乏时,差异,和罐头自己使用决定制造者的判断。从国际金融帮助机构的决定制造者,施主机构,政府并且本地社区能利用这条建议途径。
简介:在技术集中的市场,让公司开发长期的多重产生生产线而不是释放连续单个产品是普通策略。尽管这策略比顺序介绍单个产品代更有利,它能也导致内部产品的线cannibalization。多重产生的生产线的Cannibalization是需要在计划舞台以便支撑长期的盈利的早生产线被考虑的一个复杂问题。在这份报纸,我们建议能在一条多重产生的生产线以内模仿潜在的cannibalization情形的一个基于代理人的模型。我们把一条多重产生的生产线(MGPL)看作在MGPL的产品产生各在市场上基于移动随着时间的过去调整它的出售价格的复杂适应系统需求。建议模型提供各种各样的定价策略怎么影响MGPL和罐头的全面生命周期盈利的卓见被用来在在计划阶段的早生产线开发适当动态定价策略帮助公司。
简介:Thispaperproposesagraphical-basedmethodologytoevaluatetheperformanceofamanufacturingsystemintermsofnetworkmodel.Wefocusonamanufacturingsystemwhichconsistsofmultipledistinctproductionlines.Atransformationtechniqueisdevelopedtobuildthemanufacturingsystemasamanufacturingnetwork.Insuchamanufacturingnetwork,thecapacityofeachmachineismultistateduetofailure,partialfailure,ormaintenance.Thus,thismanufacturingnetworkisalsoregardedasamultistatenetwork.Weevaluatetheprobabilitythatthemanufacturingnetworkcanmeetagivendemand,wheretheprobabilityisreferredtoasthesystemreliability.Asimplealgorithmintegratingdecompositiontechniqueisproposedtogeneratetheminimalcapacityvectorsthatmachinesshouldprovidetoeventuallysatisfydemand.Thesystemreliabilityisderivedintermsofsuchcapacityvectorsafterwards.ApracticalapplicationinthecontextofICcardmanufacturingsystemisutilizedtodemonstratetheperformanceevaluationprocedure.
简介:Usinggeneralizedunivexfunctions,anondifferentiablemultiple-objectiveoptimizationproblemisconsidered.Kuhn-Tuckertypesufficientoptimalityconditionsareobtainedforafeasiblepointtobeanefficientorproperlyefficientsolution.Mond-Weirtypedualityprogrammingisconstructed,theweakandstrongdualitytheoremsareproved.
简介:Thisresearchexaminesthemicro-levelcorrelationbetweentraditionalmarketingactions(TVadsandpublicrelations)andpre-releaseconsumers’sociallearningaboutvideogameconsoles(WiiandPS3,launchedin2006).Weevaluateconsumers’learningprocessesviatheperusalofinformationinonlinecommunitiesusing“pageview”dataformultiplewebsitesfromaclickstreampanelasindicators.WeproposeabivariateBayesianlearningmodelcombinedwithcomplementarypurchasechoices.Theproposedmodelenablessimplerestimationofparametersandallowstoaccommodatedetailedinformationaboutinteractionsbetweensocialandpersonallearningprocesses.Fromtheresults,wefindempiricalevidencethatcompanies’traditionalmarketingactionshaveagreaterimpactonsociallearningthanonregularpersonallearningduringthepre-launchperiod.Whenconsumersmakepurchasedecisions,theirsocialbeliefsaboutproductqualityareweighedatleastthreetimesmoreheavilythantheirpersonalbeliefs.Counterfactualsimulationssuggestthatbyoptimizingmarketingactions,firmscanstimulateconsumers’learningandpromoteincreasedproductengagement.
简介:Onthebasisofanalyzingtheflawsofpresentsomemultipleattributesclassificationdecision-makingmethods,tothequestionofcharacteristicsofthemultipleat-tributesclassificationdecision-makingandparticularemphasisofrespectiveattributesinthedecision-makingprocess,aswellasitsrelevancetothedecisionmakingenvironment,thepaperfirstlyformulatesanoptimalattributessystem,thenusestheMultiplicativeAnalyticHierarchyProcess(MAHP)todeterminesubjectiveweightcoefficients,estimatetheobjectiveweightcoefficients,establishestheoptimalmodeloftheweightcoefficientsofthewholeoptimalattributessystem,andobtaintheweightsonattributes.Furthermore,thepaperpresentsadecision-makingmethodandgivesitsdetailimplementationprocedure.Finally,anexampleisgiventoshowthefeasibilityandeffectivenessofthismethod.
简介:AhybridapproachofDEA(dataenvelopmentanalysis)andTOPSIS(techniquefororderperformance(preference)bysimilaritytoidealsolution)isproposedformultiplecriteriadecisionanalysisinemergencymanagement.TwoDEA-basedoptimizationmodelsareconstructedtofacilitateidentifyingparameterinformationregardingcriterionweightsandquantifyingqualitativecriteriainTOPSIS.AnemergencymanagementcasestudyutilizingdatafromtheEmergencyManagementAustralia(EMA)DisastersDatabaseisprovidedtodemonstratethefeasibilityoftheproposedanalysisprocedure.
简介:WeconsideranM/M/2queueingsystemwithtwo-heterogeneousserversandmultiplevacations.CustomersarriveaccordingtoaPoissonprocess.However,customersbecomeimpatientwhenthesystemisonvacation.Weobtainexplicitexpressionsforthetimedependentprobabilities,meanandvarianceofthesystemsizeattimetbyemployingprobabilitygeneratingfunctions,continuedfractionsandpropertiesofthemodifiedBesselfunctions.Finally,twospecialcasesareprovided.
简介:Thispaperanalyzesafinite-bufferrenewalinputsingleserverdiscrete-timequeueingsystemwithmultipleworkingvacations.Theserverworksatadifferentrateratherthancompletelystoppingworkingduringthemultipleworkingvacations.Theservicetimesduringaserviceperiod,servicetimeduringavacationperiodandvacationtimesaregeometricallydistributed.ThequeueisanalyzedusingthesupplementaryvariableandtheimbeddedMarkov-chaintechniques.Weobtainsteady-statesystemlengthdistributionsatpre-arrival,arbitraryandoutsideobserver'sobservationepochs.Theanalysisofactualwaiting-timedistributionandsomeperformancemeasuresarecarriedout.Wepresentsomenumericalresultsanddiscussspecialcasesofthemodel.