研究紹介_2024_日本語版(工学部)
31/148

Advancedmethodologyofevolutionarymulti-andmany-Multi-objectivelandscapeanalysis,InternationalAssociatedLaboratory,ShinshuUniversity-LilleMany-objectiveoptimizationandvisualization,JožefStefanSchedulingoptimization,Technopro,JapanMulti-objectivelandscapeanalysis,problemfeaturesandalgorithmperformance.Modelstocapturethedynamicsofevolutionaryalgorithms,LilleUniversityandUniversitéduLittoralCôted'Opale,FranceDecompositionDesigningsmartcitieswithevolutionarycomputation,Cuenca電⼦情報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,complexoptimizationproblemsEvolutionarycomputationsimulatesevolutionanditisappliedtosolveavarietyofdesigninnovationandsustainabilityproblems29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【私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. Let us change the world for the better.システム⼯学科進化計算、多⽬的最適化、最適化の応⽤

元のページ  ../index.html#31

このブックを見る