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1、Knowledge-BasedSystems26(2012)69–74ContentslistsavailableatSciVerseScienceDirectKnowledge-BasedSystemsjournalhomepage:www.elsevier.com/locate/knosysAnewFruitFlyOptimizationAlgorithm:Takingthe?nancialdistressmodelasanexampleWen-TsaoPan?DepartmentofInformationMa
2、nagement,OrientalInstituteofTechnology,Taiwan,ROCarticleinfoabstractArticlehistory:ThetreatmentofanoptimizationproblemisaproblemthatiscommonlyresearchedanddiscussedbyReceived29May2011scholarsfromallkindsof?elds.Iftheproblemcannotbeoptimizedindealingwiththings,
3、usuallylotsReceivedinrevisedform29June2011ofhumanpowerandcapitalwillbewasted,andintheworstcase,itcouldleadtofailureandwastedAccepted1July2011efforts.Therefore,inthisarticle,amuchsimplerandmorerobustoptimizationalgorithmcomparedwithAvailableonline8July2011theco
4、mplicatedoptimizationmethodproposedbypastscholarsisproposed;theFruitFlyOptimizationAlgorithm.Inthisarticle,throughouttheprocessof?ndingthemaximalvalueandminimalvalueofaKeywords:function,thefunctionofthisalgorithmistestedrepeatedly,inthemeantime,thepopulationsi
5、zeandFruitFlyOptimizationAlgorithmcharacteristicisalsoinvestigated.Moreover,the?nancialdistressdataofTaiwan’senterpriseisfurtherFinancialdistressOptimizationproblemcollected,andthefruit?yalgorithmoptimizedGeneralRegressionNeuralNetwork,GeneralRegressionGeneral
6、RegressionNeuralNetworkNeuralNetworkandMultipleRegressionareadoptedtoconstructa?nancialdistressmodel.ItisfoundinDataminingthisarticlethattheRMSEvalueoftheFruitFlyOptimizationAlgorithmoptimizedGeneralRegressionNeuralNetworkmodelhasaverygoodconvergence,andthemod
7、elalsohasaverygoodclassi?cationandpredictioncapability.ó2011ElsevierB.V.Allrightsreserved.1.Prefacetheoptimizationcapabilityofthefruit?ygroupisinvestigated.Furthermore,thisarticlerefertoRavisankar[17],Li[15],Cho[5]Inrecentyears,thetreatmentofoptimizationproble
8、mshasandHadavandi[10]adoptsthe?nancialdistressdataofenter-caughteveryone’sattention,forexample,theproductionschedulepriseswithstockslistedintheregularstockmarketandover-optimizatio
