工学部 研究紹介2018

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Evolutionarycomputationisusedtofindoptimalsolutionstomulti-objective,largescale,complexoptimizationproblemsEvolutionarycomputationsimulatesevolutionanditisappliedtosolveavarietyofdesigninnovationandsustainabilityproblemsエルナン研究室研究から広がる未来卒業後の未来像Smartpowergrids,intelligentmobilityandtransportationsystems,andintelligentwatergridsarethreekeysystemstowhichevolutionarycomputationcanbeusedtooptimizetheirdesignandimprovetheirsustainabilitytomeettheneedsofthefuture.Additionally,designinnovationinkeyindustries,suchasautomobileandspaceexploration,areareasinwhichevolutionarycomputationwillplayanimportantrole.IntheLaboratorywelearnaboutreal-worldproblem-solvingandoptimizationbycomputationalmeans.Thisrequiresaclearunderstandingoftheproblem,itsmodeling,andthecreationofaprogramtosolveit.Thereisalsoopportunitiestocollaborateinjointresearchwithindustry.Theseactivitiescomplementstheeducationreceivedintheundergraduatecurseandbroadenstheskillsofengineers.AGUIRREHERNAN准教授アギレ・エルナンEcuadorianEngineer.PhDfromShinshuUniversityin2003.Collaboratesactivelywithin-dustry,promotesinternationalexchange,andconductsjointresearchwithnationalandinternationalinstitutions.Evolutionarycomputationusescomputationalmodelsofnaturalevolutiontosolvecomplexproblemsinscienceandengineering.Thecreationofsustainablesystemstomeetourneedswithoutcompromisingfuturegenerationsisasocialchallenge.Itdemandsthedevelopmentofnewtechnologiesandtheredesignofourinfrastructure,balancingenvironmental,economic,andsocietalneeds.Sustainabilityproblemsareintrinsicallycomplex,dynamic,large-scale,spanseveraldisciplines,andrequiremultidisciplinaryeffortsandmethodstosolvethem.Weusethepowerofevolutionarycomputationfordesigninnovationandoptimizationofsolutionstocomplexsustainabilityproblems.進化計算・多⽬的最適化・最適化の応⽤電⼦情報システム⼯学科研究シーズ共同研究・外部資⾦獲得実績社会貢献実績研究キーワードEvolutionaryComputation・Multi-andMany-objectiveOptimization・MultidisciplinaryDesignOptimization・Innovation・Sustainability【先生の学問へのきっかけ】Human nature doesn't change much; science does, and the change accrues, altering the world irreversibly. Bring your ideas and develop them. Let us innovate. Le us change the world.•Advancedmethodologyofevolutionarymulti-andmany-objectiveoptimizationforrealworldapplications•Multi-objectivelandscapeanalysis,featuresandalgorithmsperformance•Modelstocapturethedynamicsofevolutionaryalgorithms•Evolutionarydesigninnovation•Evolutionarydesignofsustainablesystems:transportandmobility,waterdistribution,energydistribution•Bi-nationalresearchproject,ShinshuUniversity,Japan-INRIA,France•Bi-nationalresearchproject,ShinshuUniversity,Japan-JožefStefanInstitute,Slovenia•Many-objectiveoptimizationanddatamining,TheYokohamaRubberCompany•Developmentofmany-objectiveoptimizers,JAXA,ISAS•Neutralityinmulti-objectiveoptimization.LilleUniversity,France•Multi-objectivelandscapeanalysis,problemfeaturesandalgorithmperformance.Modelstocapturethedynamicsofevolutionaryalgorithms,LilleUniversityandUniversitéduLittoralCôted'Opale,France•Decompositionbasedmany-objectiveoptimizers.CINVESTAV,Mexico•Singleandmulti-objectiveoptimization.UniversityofMalaya,MalaysiaIEEETechnicalCommitteeonSoftComputingInternationalFederationofAutomaticControl(IFAC)-WorkinggroupAdvancedmulti-criteriaapplicationsinmanufacturingandlogistics45