Multi Criteria Optimization Professors in Global

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Professor

Kalyanmoy Deb

Michigan State University United States of America

multi-objective optimization

evolutionary multi-objective optimization

computational optimization

hybrid optimization algorithms

process optimization

meta-modeling optimization

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Professor

Albert Berahas

University of Michigan United States of America

machine learning optimization

stochastic optimization

constrained optimization

distributed optimization

nonlinear optimization

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Professor

Vijaya Raghavendra Bollapragada

University of Texas at Austin United States of America

optimization algorithms

stochastic optimization

constrained optimization

distributed optimization

nonlinear optimization

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Professor

Manuel Lopez-ibanez

University of Manchester United Kingdom

multi-objective optimisation

multi-criteria decision making

combinatorial optimisation

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Professor

Eric Kerrigan

Imperial College London United Kingdom

multi-objective optimization

dynamic optimization

control optimization

numerical optimization methods

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Professor

Dick Den Hertog

University of Amsterdam Netherlands

optimization in machine learning

linear optimization

robust optimization

nonlinear optimization

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Professor

John Chinneck

Carleton University Canada

feasibility optimization

mixed integer optimization

nonlinear optimization

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Professor

Mahdi Mehrtash

Johns Hopkins University United States of America

No active positions

stochastic optimization

global optimization

distributed optimization

power system optimization

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Professor

Ann-brith Strömberg

University of Gothenburg Sweden

multi-objective optimization

mathematical optimization

simulation-based optimization

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Professor

Nathaniel Bastian

Pennsylvania State University United States of America

multiple objective optimization

computational stochastic optimization

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Professor

Arturo Molina-cristobal

University of Glasgow United Kingdom

multi-objective control optimization

multidisciplinary design optimisation

multi-objective genetic algorithms

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Professor

Merve Bodur

University of Edinburgh United Kingdom

multiobjective optimization

combinatorial optimization

robust optimization

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Professor

Cynthia Vinzant

University of Washington United States of America

mathematical optimization

linear optimization

combinatorial optimization

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Professor

Bartolomeo Stellato

Princeton University United States of America

mathematical optimization

large scale optimization

differentiable optimization

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Professor

Yashar Pourrahimian

University of Alberta Canada

mining optimization

data-driven optimization

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Professor

Michael Patriksson

University of Gothenburg Sweden

mathematical optimization

combinatorial optimization

nonlinear optimization

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Professor

John Jørgensen

Technical University of Denmark Denmark

numerical optimization

process optimization

dynamic optimization

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Professor

Jeya Jeyakumar

University of New South Wales Australia

mathematical optimization

robust optimization

nonlinear optimization

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Professor

Siva Maguluri

Georgia Institute of Technology United States of America

stochastic optimization

distributed optimization

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Professor

Nathan Kallus

Cornell University Netherlands

stochastic optimization

robust optimization

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Professor

Chuan He

Linköping University Sweden

large-scale optimization

continuous optimization

decentralized optimization

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