Multi Modal Optimization Professors in Global

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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
robust optimization
data-driven optimization
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John Jørgensen
Technical University of Denmark Denmark
numerical optimization
dynamic optimization
process optimization
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Kalyanmoy Deb
Michigan State University United States of America
multi-objective optimization
process optimization
computational optimization
evolutionary multi-objective optimization
hybrid optimization algorithms
meta-modeling optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
distributed optimization
constrained optimization
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Arturo Molina-cristobal
University of Glasgow United Kingdom
multi-objective control optimization
multidisciplinary design optimisation
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Merve Bodur
University of Edinburgh United Kingdom
multiobjective optimization
robust optimization
combinatorial optimization
inverse optimization
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Merve Bodur
University of Edinburgh United Kingdom
multiobjective optimization
robust optimization
combinatorial optimization
inverse optimization
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
dynamic optimization
control optimization
numerical optimization methods
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Omar El Housni
Cornell University Netherlands
dynamic optimization
optimization models
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Yan Li
Texas A&M University United States of America
dynamic optimization
robust optimization
stochastic optimization
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Stefano Cipolla
University of Southampton United Kingdom
numerical optimization
continuous optimization
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Yinyu Ye
Stanford University United States of America
dynamic optimization
continuous optimization
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Renato Monteiro
Georgia Institute of Technology United States of America
computational optimization
continuous optimization
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Shixuan Zhang
Texas A&M University United States of America
robust optimization
polynomial optimization
stochastic optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Michael Stingl
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
robust optimization
continuous optimization
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Jiajin Li
University of British Columbia Canada
continuous optimization
optimization algorithms
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Guoyu Chu
University of New South Wales Australia
multiphysics multi-objective design optimizations
design optimization
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Johan Ölvander
Linköping University Sweden
simulation optimization
multi-disciplinary modelling
design optimization
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Chaoyue Zhao
University of Washington United States of America
robust optimization
data-driven optimization
stochastic optimization
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Chaoyue Zhao
University of Washington United States of America
robust optimization
data-driven optimization
stochastic optimization
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