简介：InCDMAmobilecommunicationsystems,multipleaccessinterferencecanbecanceledbymultiuserdetectiontechnique.TheDegradationbychannelfadingcanbereducedbydiversityreception.Thispaperinvestigatesafamilyofmultiuserreceiversthatcombineddecor-relatingdetection,antennadiversityandRAKEmultipathdiversity.Theperformanceofthemultiuserreceiversisanalyzed.Theresultsdemonstrateasignificantincreaseintheperformanceofthereceiversbyusingmultiuserdetectionanddiversityreception.

简介：Thispaperpresentsanewhybridgeneticalgorithmforthevertexcoverproblemsinwhichscan-repairandlocalimprovementtechniquesareusedforlocaloptimization.Withthehybridapproach,geneticalgorithmsareusedtoperformglobalexplorationinapopulation,whileneighborhoodsearchmethodsareusedtoperformlocalexploitationaroundthechromosomes.Theexperimentalresultsindicatethathybridgeneticalgorithmscanobtainsolutionsofexcellentqualitytotheprobleminstanceswithdifferentsizes.Thepuregeneticalgorithmsareoutperformedbytheneighborhoodsearchheuristicsprocedurescombinedwithgeneticalgorithms.

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：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.

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