Polynomial Copositive Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
multi-objective optimization
process optimization
hybrid optimization algorithms
evolutionary multi-objective optimization
meta-modeling optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
constrained optimization
nonlinear optimization
distributed optimization
derivative-free optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
constrained optimization
nonlinear optimization
distributed optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
combinatorial optimization
nonlinear optimization
stochastic mathematical programming
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
differentiable optimization
large scale optimization
real-time embedded optimization
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Yassine Yaakoubi
Concordia University Canada
large-scale combinatorial optimization
machine learning-augmented optimization
supply value chain optimization
probabilistic machine learning
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John Chinneck
Carleton University Canada
mixed integer optimization
optimization
nonlinear optimization
feasibility optimization
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Shengding Sun
London School of Economics United Kingdom
polynomial optimization
combinatorial optimization
semidefinite optimization
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Shixuan Zhang
Texas A&M University United States of America
polynomial optimization
stochastic optimization
integer optimization
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Sven Polak
Tilburg University Netherlands
polynomial semidefinite optimization
combinatorial optimization
optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
combinatorial optimization
linear optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
multi-objective optimization
simulation-based optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
stochastic optimization
combinatorial optimization
optimization
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Juergen Branke
Warwick Business School United Kingdom
bayesian optimization
multi-objective optimization
simulation-based optimization
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Nathaniel Bastian
Pennsylvania State University United States of America
computational stochastic optimization
multiple objective optimization
optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
stochastic optimization
large-scale optimization
integer optimization
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Morteza Esmaeili
University of Victoria Canada
combinatorial optimization
linear optimization
iterative decoding algorithms
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Giacomo Zambelli
London School of Economics and Political Science United Kingdom
combinatorial optimization
integer optimization
polyhedral combinatorics
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Jan Kronqvist
Royal Institute of Technology Sweden
mixed-integer optimization
optimization algorithms
ai in optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
data-driven optimization
optimization models
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
optimization
distributed optimization
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