简介:Anaudiorecoveringmethodofspread-spectrumhiddeninformationisproposedbasedongeneticalgorithm.Inthismethodtheembeddedsequencelengthisconfirmedfirstly,thenthebestestimatedsequencewiththeconfirmedlengthisgotbygeneticalgorithm,finallytheconfidentialmessagehiddeninstego-audiocanberecovered.Usingthisapproach,thehiddeninformationcanberecoveredwithoutanyinformationfromthetransmitter.ThepresentedmethodhasbeenimplementedonPC,andtheexperimentalresultsshowthattheaveragerecoveringcorrectrateishigherthan90%.
简介:InCDMAmobilecommunicationsystems,multipleaccessinterferencecanbecanceledbymultiuserdetectiontechnique.TheDegradationbychannelfadingcanbereducedbydiversityreception.Thispaperinvestigatesafamilyofmultiuserreceiversthatcombineddecor-relatingdetection,antennadiversityandRAKEmultipathdiversity.Theperformanceofthemultiuserreceiversisanalyzed.Theresultsdemonstrateasignificantincreaseintheperformanceofthereceiversbyusingmultiuserdetectionanddiversityreception.
简介:Thispaperpresentsanewhybridgeneticalgorithmforthevertexcoverproblemsinwhichscan-repairandlocalimprovementtechniquesareusedforlocaloptimization.Withthehybridapproach,geneticalgorithmsareusedtoperformglobalexplorationinapopulation,whileneighborhoodsearchmethodsareusedtoperformlocalexploitationaroundthechromosomes.Theexperimentalresultsindicatethathybridgeneticalgorithmscanobtainsolutionsofexcellentqualitytotheprobleminstanceswithdifferentsizes.Thepuregeneticalgorithmsareoutperformedbytheneighborhoodsearchheuristicsprocedurescombinedwithgeneticalgorithms.
简介:WhiletheNetworkCodingcooperativerelaying(NC-relaying)hasthemeritofhighspectralefficiency,SuperpositionCodingrelaying(SC-relaying)hasthemeritofhighthroughput.Inthispaper,anovelconcept,codedcooperativerelaying,ispresented,whichisaunifiedschemeoftheNC-relayingandSC-relaying.FortheSC-relayingstrategywhichcanbeconsideredone-waycodedrelayingschemewithmulti-accesschannel,theclose-formsolutionoftheoutageprobabilitiesofthebasicsignalandadditionalsignalareobtainedfirstly.Secondly,theDiversity-and-MultiplexingTradeoff(DMT)characteristicsofbasicsignalandadditionalsignalareinvestigatedentirelyaswellastheoptimalclose-formsolutions.Thecomparednumericalanalysisshowstheevaluationerrorofthroughputbasedontheclose-formsolutionisabout0.15nats,whichiswithintheacceptableerrorrange.Duetothemutualeffectbetweenthebothsourcesignals,theavailablemaximalvaluesofthetwomultiplexinggainsarelessthan1.
简介:Wehaveanalyzedtheorder-disorderingvarianceduetoresonanceeffectandthenonlinearbehavioroffarinfraredraylaser(FIRL)-biologicalsysteminteraction.TheanalyticresultsshowthattheinteractionbetweenthelivingbiologicalsystemandFIRLcanproduceresonanceexcitationeffect,andsotheoriginalhighorderedstateofthesystemcanbedestroyedandthustheconformationvariationinthesystemcanbeproducedunderfurtheractionofthelaser.Inaddition,wehaveanalyzedthenonlinearpropertiesoftheFIRLbio-moleculeinteractionandexplainedthemutagenesiseffectsofFIRL.ThetheoreticanalysisisconsistentwiththeresultsofFIRLmutagenesisbreedingtest.
简介:Anovelalgorithm,theImmuneQuantum-inspiredGeneticAlgorithm(IQGA),isproposedbyintroducingimmuneconceptsandmethodsintoQuantum-inspiredGeneticAlgorithm(QGA).WiththeconditionofpreservingQGA'sadvantages,IQGAutilizesthecharacteristicsandknowledgeinthependingproblemsforrestrainingtherepeatedandineffectiveoperationsduringevolution,soastoimprovethealgorithmefficiency.TheexperimentalresultsoftheknapsackproblemshowthattheperformanceofIQGAissuperiortotheConventionalGeneticAlgorithm(CGA),theImmuneGeneticAlgorithm(IGA)andQGA.
简介:Satelliteconstellationdesignforspaceopticalsystemsisessentiallyamultiple-objectiveoptimizationproblem.Inthiswork,totacklethischallenge,wefirstcategorizetheperformancemetricsofthespaceopticalsystembytakingintoaccountthesystemtasks(i.e.,targetdetectionandtracking).Wethenproposeanewnon-dominatedsortinggeneticalgorithm(NSGA)tomaximizethesystemsurveillanceperformance.Paretooptimalsetsareemployedtodealwiththeconflictsduetothepresenceofmultiplecostfunctions.Simulationresultsverifythevalidityandtheimprovedperformanceoftheproposedtechniqueoverbenchmarkmethods.
简介:Genomeassemblyisaprerequisitestepforanalyzingnextgenerationsequencingdataandalsofarfrombeingsolved.Manyassemblytoolshavebeenproposedandusedextensively.Majorityofthemaimtoassemblesequencingreadsintocontigs;however,wefocusontheassemblyofcontigsintoscaffoldsinthispaper.Thisiscalledscaffolding,whichestimatestherelativeorderofthecontigsaswellasthesizeofthegapsbetweenthesecontigs.Pheromonetrail-basedgeneticalgorithm(PGA)waspreviouslyproposedandhaddecentperformanceaccordingtotheirpaper.Fromourpreviousstudy,wefoundthatfamilycompetitionmechanismingeneticalgorithmisabletofurtherimprovetheresults.Therefore,weproposefamilycompetitionpheromonegeneticalgorithm(FCPGA)anddemonstratetheimprovementoverPGA.
简介:Thispaperaddressestheproblemofselectingarouteforeverypairofcommunicatingnodesinavirtualcircuitdatanetworkinordertominimizetheaveragedelayencounteredbymessages.TheproblemwaspreviouslymodeledasanetworkofM/M/1queues.Ageneticalgorithmtosolvethisproblemispresented.Extensivecomputationalresultsacrossavarietyofnetworksarereported.Theseresultsindicatethatthepresentedsolutionprocedureoutperformstheothermethodsintheliteratureandiseffectiveforawiderangeoftrafficloads.
简介:Thisletterproposestwoalgorithms:anovelQuantumGeneticAlgorithm(QGA)basedontheimprovementofHan'sGeneticQuantumAlgorithm(GQA)andanewBlindSourceSeparation(BSS)methodbasedonQGAandIndependentComponentAnalysis(ICA).ThesimulationresultshowsthattheefficiencyofthenewBSSmethodisobviouslyhigherthanthatoftheConventionalGeneticAlgorithm(CGA).
简介:Animprovedgeneticalgorithmforsearchingoptimalparametersinn-dimensionalspaceispresented,whichencodesmovementdirectionanddistanceandsearchesfromcoarsetoprecise.Thealgorithmcanrealizeglobaloptimizationandimprovethesearchefficiency,andcanbeappliedeffectivelyinindustrialoptimization,dataminingandpatternrecognition.
简介:Agenetic-optimizationframeworkbasedonthepartialcooperationcommunicationprotocolisproposedforscalablevideocoding(SVC)streamtransmissionundermulti-relayamplifyandforwardcooperativenetworks.Unliketraditionalcooperativetransmissionschemes,thetransmissionmodeforeachcodedunitinthisnewprotocolcanbeswitchedflexiblybetweendirecttransmissionandcooperativetransmission.Obviously,underthisprotocol,thebandwidthefficiencyandtransmissionrobustnesscanbebalancedadaptivelyaccordingtotheprioritylevelofcodedunitsandwirelesschannelfadingcharacteristics.Basedonthis,awell-knowngeneticoptimizationalgorithm-differentialevolutionisexploitedheretofindthejointlyoptimaltransmissionmodes,powerallocationandunequalerrorprotection(UEP)channelcodingstrategiestominimizetheendtoendreconstructedvideodistortion.Extensivesimulationresultsshowthat,comparedwithclassicaloptimalcooperativeUEPtransmissionschemes,theproposedoptimizedtransmissionframeworkbasedonthepartialcooperativeprotocolcanbringsignificantpeak-signal-to-noise-ratio(PSNR)gainsforthereconstructedvideoinavarietyofchannelbandwidth,powerbudgetandtestsequences.
简介:Code-DivisionMultiple-Access(CDMA)systemsareinterferencelimited,andthereforeefficientinterferencemanagementisnecessarytoenhancetheperformanceofaCDMAsystem.Inthispaper,asuccessivebeamforming(spatialfiltering),lineardecorrelatingMultiUserDetection(MUD,temporalfiltering)anddiversityreceptionstructureforuplinkmulticarrierDirectSequenceCDMA(DS-CDMA)systemwithantennaarrayareproposed.Bybeamforming,theantennaarraysuppressesinterferenceaccordingtothedistinctarraysignature.Subsequently,lineardecorrelatingMUDisap-pliedtoseparatethesignalsofdifferentusersandeliminateMultipleAccessInterference(MAI).Finally,thedecorrelatedsignalsatdifferentsubcarriersthatbelongtothesameuserarecombinedtoachievefrequencydiversity.SimulationresultsshowthattheproposedstructureofferssignificantBitErrorRate(BER)performanceimprovementbysuccessivelyexploitingthespace-time-frequencyprocessing.
简介:Theperformanceofdeeplearning(DL)networkshasbeenincreasedbyelaboratingthenetworkstructures.However,theDLnetowrkshavemanyparameters,whichhavealotofinfluenceontheperformanceofthenetwork.Weproposeageneticalgorithm(GA)baseddeepbeliefneuralnetwork(DBNN)methodforrobotobjectrecognitionandgraspingpurpose.ThismethodoptimizestheparametersoftheDBNNmethod,suchasthenumberofhiddenunits,thenumberofepochs,andthelearningrates,whichwouldreducetheerrorrateandthenetworktrainingtimeofobjectrecognition.Afterrecognizingobjects,therobotperformsthepick-andplaceoperations.Webuildadatabaseofsixobjectsforexperimentalpurpose.Experimentalresultsdemonstratethatourmethodoutperformsontheoptimizedrobotobjectrecognitionandgraspingtasks.
简介:Itissignificanttocombinemultipletasksintoanoptimalworkpackageindecision-makingofaircraftmaintenancetoreducecost,soacostratemodelofcombinatorialmaintenanceisanurgentneed.However,theoptimalcombinationundervariousconstraintsnotonlyinvolvesnumericalcalculationsbutalsoisanNP-hardcombinatorialproblem.Tosolvetheproblem,anadaptivegeneticalgorithmbasedonclustersearch,whichisdividedintotwophases,isputforward.Inthefirstphase,accordingtothedensity,allindividualscanbehomogeneouslyscatteredoverthewholesolutionspacethroughcrossoverandmutationandbetterindividualsarecollectedascandidateclustercentres.Inthesecondphase,thesearchisconfinedtotheneighbourhoodofsomeselectedpossiblesolutionstoaccuratelysolvewithclusterradiusdecreasingslowly,meanwhileallclusterscontinuouslymovetobetterregionsuntilallthepeaksinthequestionspaceissearched.Thisalgorithmcanefficientlysolvethecombinationproblem.Takingtheoptimizationondecision-makingofaircraftmaintenancebythealgorithmforanexample,maintenancewhichcombinesmultiplepartsortaskscansignificantlyenhanceeconomicbenefitwhenthehaltcostisratherhigh.
简介:UnderstandingtheNatureofPredatoryPriciginLarge-ScaleMarketEconomywithGeneticAlgorithmsTXUnderstandingtheNatureofPredatoryPrici...
简介:Aimingtoreducethecomputationalcostsandconvergetoglobaloptimum,anovelmethodisproposedtosolvetheoptimizationofacostfunctionintheestimationofdirectionofarrival(DOA).Inthismethod,ageneticalgorithm(GA)andfuzzydiscreteparticleswarmoptimization(FDPSO)areappliedtooptimizethedirectionofarrivalandpowerparametersofthemodesimultaneously.Firstly,theGAalgorithmisappliedtomakethesolutionfallintotheglobalsearching.Secondly,theFDPSOmethodisutilizedtonarrowdownthesearchfield.InFDPSO,achaoticfactorandacrossovermethodareaddedtospeeduptheconvergence.Thisapproachhasbeendemonstratedthroughsomecomputationalsimulations.ItisshownthattheproposedalgorithmcanestimateboththeDOAandthepowersaccurately.Itismoreefficientthansomepresentmethods,suchastheNewton-likealgorithm,Akaikeinformationcritical(AIC),particleswarmoptimization(PSO),andgeneticalgorithmwithparticleswarmoptimization(GA-PSO).