Hybrid Optimization Algorithms Professors in Global

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John Chinneck
Carleton University Canada
optimization
algorithms
feasibility optimization
mixed integer optimization
concurrent algorithms
nonlinear 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
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
constrained optimization
nonlinear optimization
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Kalyanmoy Deb
Michigan State University United States of America
hybrid optimization algorithms
computational optimization
process optimization
multi-objective optimization
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
optimization
genetic algorithms
parallel algorithms
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
combinatorial optimization
linear optimization
discrete optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
optimization in machine learning
robust optimization
nonlinear optimization
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
robust optimization
polynomial optimization
integer optimization
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Ismail Ali
University of New South Wales Australia
combinatorial optimization
optimization problems
simulation-based optimization techniques
evolutionary algorithms
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
stochastic optimization
algorithms
continuous optimization
optimization theory
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
multi-objective optimization
numerical optimization methods
control optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
distributed optimization
global optimization
power system optimization
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Jan Kronqvist
Royal Institute of Technology Sweden
optimization algorithms
ai in optimization
mixed-integer optimization
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Kiefer
Technical University of Berlin Germany
mathematical optimization
combinatorial optimization
approximation algorithms
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
combinatorial optimization
nonlinear optimization
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Kent Quanrud
Purdue University United States of America
combinatorial optimization
optimization
approximation algorithms
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Panos Parpas
Imperial College London United Kingdom
mathematical optimization
computational optimization
algorithms
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Matus Mihalak
Maastricht University Netherlands
optimization
robust optimization
algorithms
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
multiobjective optimization
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Elad Hazan
Princeton University United States of America
optimization
stochastic optimization
algorithms
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