工学部研究紹介2025

31/148

電⼦情報Advancedmethodologyofevolutionarymulti-andmany-Multi-objectivelandscapeanalysis,InternationalAssociatedLaboratory,ShinshuUniversity-LilleMany-objectiveoptimizationandvisualization,JožefStefanSchedulingoptimization,Technopro,JapanMulti-objectivelandscapeanalysis,problemfeaturesandalgorithmperformance.Modelstocapturethedynamicsofevolutionaryalgorithms,LilleUniversityandUniversitéduLittoralCôted'Opale,FranceDecompositionDesigningsmartcitieswithevolutionarycomputation,Cuenca教授AGUIRRE HERNAN研究から広がる未来研究シーズ共同研究・外部資⾦獲得実績EvolutionaryComputation・Multi-objectiveOptimization・MultidisciplinaryDesignOptimization・Innovation・Sustainability研究キーワード卒業後の未来像最近の研究トピックスEcuadorian Engineer.PhD from Shinshu University , 2003. Collaborates with industry, promotes international exchange,and conducts joint research with national and international institutions. Evolutionarycomputationusescomputationalmodelsofnaturalevolutiontosolvecomplexproblemsinscienceandengineering.Thecreationofsustainablesystemstomeetourneedswithoutcompromisingfuturegenerationsisasocialchallenge.Itdemandsthedevelopmentofnewtechnologiesandtheredesignofourinfrastructure,balancingenvironmental,economic,andsocietalneeds.Sustainabilityproblemsareintrinsicallycomplex,dynamic,large-scale,spanseveraldisciplines,andrequiremultidisciplinaryeffortsandmethodstosolvethem.Weusethepowerofevolutionarycomputationfordesigninnovationandoptimizationofsolutionstocomplexsustainabilityproblems.objectiveoptimizationforrealworldapplicationsperformanceModelstocapturethedynamicsofevolutionaryalgorithmsEvolutionarydesigninnovationEvolutionarydesignofsustainablesystems:mobility,waterdistribution,energydistributionUniversity,Japan-FranceInstitute,SloveniaCINVESTAV,MexicoCatholicUniversity,EcuadorbasedEvolutionarycomputationwillroleinplayanimportantdesigninnovationinkeyindustries,suchasautomobileandspaceexploration.Itwillalsobeusedtooptimizethedesignofsmartpowergrids,intelligenttransportationandmobility,andsmartwatergridsseekingtotheirsustainability.featuresandalgorithmstransportandmany-objectiveoptimizers.IntheLaboratorywelearnaboutreal-worldproblem-solvingandoptimizationbycomputationalmeans.Thisrequiresaclearunderstandingoftheproblem,itsmodeling,andthecreationofaprogramtosolveit.Thereisalsoopportunitiestocollaborateinjointresearchwithindustry.Theseactivitiescomplementtheundergraduateeducation.improveEvolutionarycomputationisusedtofindoptimalsolutionstomulti-objective,largescale,complexoptimizationproblemsEvolutionarycomputationsimulatesevolutionanditisappliedtosolveavarietyofdesigninnovationandsustainabilityproblems【【私私のの学学問問へへののききっっかかけけ】】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. Let us change the world for the better.29システム⼯学科進化計算、多⽬的最適化、最適化の応⽤