Optimization Methods Professors in Global

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Eric Kerrigan
Imperial College London United Kingdom
numerical optimization methods
control optimization
dynamic optimization
multi-objective optimization
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
hybrid optimization algorithms
computational optimization
multi-objective optimization
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Monique Laurent
Tilburg University Netherlands
optimization
geometric methods
combinatorial methods
algebraic methods
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
discrete optimization
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Shixuan Zhang
Texas A&M University United States of America
polynomial optimization
stochastic optimization
robust optimization
integer optimization
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John Anderson
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Dave Touretzky
Carnegie Mellon University United States of America
mathematical methods
computational methods
statistical methods
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Martin Andersen
Technical University of Denmark Denmark
optimization
numerical optimization
numerical methods algorithms
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Ismail Ali
University of New South Wales Australia
optimization problems
simulation-based optimization techniques
combinatorial optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Fabian Duddeck
Technical University of Munich Germany
material optimization
simulation optimization
numerical methods
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
optimization theory
continuous optimization
stochastic optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
optimization applications
global optimization
robust optimization
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Danial Davarnia
Purdue University United States of America
network optimization
global optimization
discrete optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
simulation-based optimization
multi-objective optimization
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Jesper Wulff
Aarhus University Denmark
statistical methods
quantitative methods
organizational research methods
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Stefano Cipolla
University of Southampton United Kingdom
numerical optimization
continuous optimization
order methods
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