简介:Thebacktrackingsearchoptimizationalgorithm(BSA)isoneofthemostrecentlyproposedpopulation-basedevolutionaryalgorithmsforglobaloptimization.Duetoitsmemoryabilityandsimplestructure,BSAhaspowerfulcapabilitytofindglobaloptimalsolutions.However,thealgorithmisstillinsufficientinbalancingtheexplorationandtheexploitation.Therefore,animprovedadaptivebacktrackingsearchoptimizationalgorithmcombinedwithmodifiedHooke-Jeevespatternsearchisproposedfornumericalglobaloptimization.Ithastwomainparts:theBSAisusedfortheexplorationphaseandthemodifiedpatternsearchmethodcompletestheexploitationphase.Inparticular,asimplebuteffectivestrategyofadaptingoneofBSA’simportantcontrolparametersisintroduced.TheproposedalgorithmiscomparedwithstandardBSA,threestate-of-the-artevolutionaryalgorithmsandthreesuperioralgorithmsinIEEECongressonEvolutionaryComputation2014(IEEECEC2014)oversixwidely-usedbenchmarksand22real-parametersingleobjectivenumericaloptimizationbenchmarksinIEEECEC2014.Theresultsofexperimentandstatisticalanalysisdemonstratetheeffectivenessandefficiencyoftheproposedalgorithm.
简介:Anoveloptimizationalgorithmcalledstochasticfocusingsearch(SFS)forthereal-parameteroptimizationisproposed.Thenewalgorithmisaswarmintelligencealgorithm,whichisbasedonsimulatingtheactofhumanrandomizedsearching,andthehumansearchingbehaviors.Thealgorithm'sperformanceisstudiedusingachallengingsetoftypicallycomplexfunctionswithcomparisonofdifferentialevolution(DE)andthreemodifiedparticleswarmoptimization(PSO)algorithms,andthesimulationresultsshowthatSFSiscompetitivetosolvemostpartsofthebenchmarkproblemsandwillbecomeapromisingcandidateofsearchalgorithmsespeciallywhentheexistingalgorithmshavesomedifficultiesinsolvingcertainproblems.
简介:Thispaperoptimizestheburiedchannelcharge-coupleddevice(BCCD)structurefabricatedbycomplementarymetaloxidesemiconductor(CMOS)technology.TheoptimizedBCCDhasadvantagesoflownoise,highintegrationandhighimagequality.Thechargetransferprocessshowsthatinterfacetraps,weakfringingfieldsandpotentialwellbetweenadjacentgatesallcausethedecreaseofchargetransferefficiency(CTE).CTEandwellcapacityaresimulatedwithdifferentoperatingvoltagesandgapsizes.CTEcanachieve99.999%andthewellcapacityreachesupto25000electronsforthegapsizeof130nmandthemaximumoperatingvoltageof3V.
简介:Theobjectiveofsteganographyistohidemessagesecurelyincoverobjectsforsecretcommunication.Howtodesignasecuresteganographicalgorithmisstillmajorchallengeinthisre-searchfield.Inthisletter,developingsecuresteganographyisformulatedassolvingaconstrainedIP(IntegerProgramming)problem,whichtakestherelativeentropyofcoverandstegodistributionsastheobjectivefunction.Furthermore,anovelmethodisintroducedbasedonBPSO(BinaryParticleSwarmOptimization)forachievingtheoptimalsolutionofthisprogrammingproblem.Experimentalresultsshowthattheproposedmethodcanachieveexcellentperformanceonpreservingneighboringco-occurrencefeaturesforJPEGsteganography.
简介:Thispaperconiesupwithanewideathattriestooptimizetheperformanceofimagesegmentationalgorithmsbasedontheirobjectiveevaluationknowledge.Aprototypeexpertsystemisdesignedandimplementedaccordingtothisidea.Kxperimentalresultsindicatethatthissystemisfeasibleandpractical.Thisideaalsooffersanefficientapproachforalgorithmoptimizationofimageprocessingandanalysis.
简介:Thispaperreportsawind-poweredwaterpumpingsystemimplementedinruralsideofPakistan.ThedesignmethodologypresentedinthispapershallenhancetheefficiencyoftheexistingSavoniusturbine’sperformancebymodifyingitaerodynamically.BladeswithdifferenttwistanglesaredesignedinSolidEdgeandanalyzedusingcomputationalfluiddynamics(CFD)withANSYSFLUENTsoftware.Staticandrotationalanalysesareperformedtogetoptimizedtwistangleandresultsarehighlighted.Theperformancesoftheturbineinbothstaticandrotationalanalysesarecompared.
简介:Theoptimizationproblemisconsideredinwhichtheobjectivefunctionispseudolinear(bothpseudoconvexandpseudoconcave)andtheconstraintsarelinear.Thegeneralexpressionfortheoptimalsolutionstotheproblemisderivedwiththerepresentationtheoremofpolyhedralsets,andtheuniquenessconditionoftheoptimalsolutionandthecomputationalprocedurestodeterminealloptimalsolutions(iftheuniquenessconditionisnotsatisfied)areprovided.Finally,anillustrativeexampleisalsogiven.
简介:OptimizationofantennaarraypatternusedinaspaceborneSyntheticApertureRadar(SAR)systemisconsideredinthisstudy.Arobustevolutionaryalgorithm,Non-dominatedSortingGeneticAlgorithms(theimprovedNSGA-Ⅱ),isappliedonaspaceborneSARantennapatterndesign.Thesystemconsistsoftwoobjectivefunctionswithtwoconstraints.Paretofrontsaregeneratedasaresultofmulti-objectiveoptimization.AfterbeingvalidatedbyatestproblemZDT4,thealgorithmsareusedtosynthesizespaceborneSARantennaradiationpattern.ThegoodresultswithlowAmbi-guity-to-SignalRatio(ASR)andhighdirectivityareobtainedinthepaper.
简介:Thepropertyofsiliconmicro-capacitiveaccelerometerisanalyzedanddiscussedbyestablishingthemodelofthesensor,tolayabasisforoptimizationdesignofsensorsystemstructure.Discussedissuesincludethestaticmodelinganddynamicbehaviorofthetwocommnlyusedstructures,i.e.,double-cantileversupportedandfour-beamsupportedstructures,andalsothemeasurementrangeofthesedevices.
简介:聚合Mach-Zehnder肋骨波导的系统的分析基于计算和优化被介绍。模拟与有效索引方法(EIM)被执行并且二维(2-D)有限差别横梁繁殖方法(FD-BPM)。在连续聚合物层之间的大折射索引步被使用EIM减少,因此,计算的精确被保证。象Y连接角度和分离差距那样的波导的重要参数被讨论,他们与光力量繁殖和损失特征的关系在这篇论文被调查。优化结构的全部的损失是0.258dB。CLC数字TN252这个工程被基础为武器设备的进展研究节目支持,中国(资助No.02040105DZ02)。
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简介:DuringthecrystalgrownbyVBM,thesolid/liquidinterfaceconfigurationsgreatlyinfluencethequalityofas-growncrystals.Inthispaper,finiteelementmethod(FEM)wasusedtosimulatethegrowthprocessofCdZnTecrystal.Theeffectsofdifferentcruciblemovingratesandtemperaturegradientofadiabaticzoneoncrystalgrowthrateandsolid-liquidinterfaceonfigurationwerestudiedaswell.Simulationresultsshowthatwhencruciblemovesattherateofabout1mm/h,whichisnearlyequaltocrystalgrowthrate,nearlyflatsolid/liquidinterfaceandlittlevariationofaxialtemperaturegradientnearitcanbeattained,whicharewellconsistentwiththeresultsofexperiments.CdZnTecrystalwithlowdislocationdensitycanbebtainedbyemployingappropriatecruciblemovingrateduringthecrystalgrowthprocess.
简介:Anewefficientcouplingrelationshipdescriptionmethodhasbeendevelopedtoprovideanautomatedandvisualizedwaytomultidisciplinarydesignoptimization(MDO)modelingandsolving.Thedisciplinaryrelationmatrix(DRM)isproposedtodescribethecouplingrelationshipaccordingtodisciplinaryinput/outputvariables,andtheMDOdefinitionhasbeenreformulatedtoadoptthenewinterfaces.Basedonthese,auniversalMDOsolvingprocedureisproposedtoestablishanautomatedandefficientwayforMDOmodelingandsolving.Throughasimpleandconvenientinitialconfiguration,MDOproblemscanbesolvedusinganyofavailableMDOarchitectureswithnofurthereffort.SeveralexamplesareusedtoverifytheproposedMDOmodelingandsolvingprocess.ResultshowsthattheDRMmethodhastheabilitytosimplifyandautomatetheMDOprocedure,andtherelatedMDOframeworkcanevaluatetheMDOproblemautomaticallyandefficiently.
简介:Acceleratingtheconvergencespeedandavoidingthelocaloptimalsolutionaretwomaingoalsofparticleswarmoptimization(PSO).TheverybasicPSOmodelandsomevariantsofPSOdonotconsidertheenhancementoftheexplorativecapabilityofeachparticle.Thusthesemethodshaveaslowconvergencespeedandmaytrapintoalocaloptimalsolution.Toenhancetheexplorativecapabilityofparticles,aschemecalledexplorativecapabilityenhancementinPSO(ECE-PSO)isproposedbyintroducingsomevirtualparticlesinrandomdirectionswithrandomamplitude.Thelinearlydecreasingmethodrelatedtothemaximumiterationandthenonlinearlydecreasingmethodrelatedtothefitnessvalueofthegloballybestparticleareemployedtoproducevirtualparticles.TheabovetwomethodsarethoroughlycomparedwithfourrepresentativeadvancedPSOvariantsoneightunimodalandmultimodalbenchmarkproblems.ExperimentalresultsindicatethattheconvergencespeedandsolutionqualityofECE-PSOoutperformthestate-of-the-artPSOvariants.
简介:MostofthecurrentdeploymentschemesforWirelessSensorNetworks(WSNs)donottakethenetworkcoverageandconnectivityfeaturesintoaccount,aswellastheenergyconsumption.Thispaperintroducestopologycontrolintotheoptimizationdeploymentscheme,establishesthemathe-maticalmodelwiththeminimumsumofthesensingradiusofeachsensors,andusesthegenetical-gorithmtosolvethemodeltogettheoptimalcoveragesolution.Intheoptimalcoveragedeployment,thecommunicationandchannelallocationarefurtherstudied.Thentheenergyconsumptionmodelofthecoverageschemeisbuilttoanalyzetheperformanceofthescheme.Finally,theschemeissimulatedthroughthenetworksimulatorNS-2.Theresultsshowtheschemecannotonlysave36%energyav-eragely,butalsoachieve99.8%coveragerateundertheconditionof45sensorsbeingdeployedafter80iterations.Besides,theschemecanreducethefivetimesinterferenceamongchannels.
简介:Inordertodesignacomplexlaserresonatorwithmulti-parameters,themethodofparticleswarmoptimization(PSO)algorithmisemployed.Theparametersinfluencingtheresonatorstabilityandmodesizedistributionaretakenintoconsideration,andthestabilitycriteriaindexandthemodesizedistributionareusedastargetvalues.TheabsolutevaluesofthedifferencesbetweenpracticalandthetargetvaluesaresetasthefitnessfunctionforthePSO.Byminimizingthefitnessfunction,alaserresonatorwiththeoptimizedcavityparameterscanbefound.TheanalysesforthedesignexampledemonstratethefeasibilityandvalidityofthePSOmethodinthecomputeraideddesignofmul-ti-parameterslaserresonator.ApplyingPSOalgorithmintheintelligentdesignofsolidstatelaserresonatorscanrealizethe.transitionfrommanualtrial-and-errortocomputerintelligentdesignofthelaserresonators.