Bilevel Hierarchical Optimization Professors in Global

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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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Ann-brith Strömberg
University of Gothenburg Sweden
multi-objective optimization
mathematical optimization
simulation-based optimization
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Juergen Branke
Warwick Business School United Kingdom
multi-objective optimization
bayesian optimization
simulation-based optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
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Kalyanmoy Deb
Michigan State University United States of America
multi-objective optimization
hybrid optimization algorithms
computational optimization
evolutionary multi-objective optimization
meta-modeling optimization
process optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
combinatorial optimization
stochastic optimization
optimization
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Manuel Lopez-ibanez
University of Manchester United Kingdom
multi-objective optimisation
combinatorial optimisation
optimisation
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
dynamic optimization
control optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
distributed optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
optimization
distributed optimization
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Chuan He
Linköping University Sweden
large-scale optimization
decentralized optimization
continuous optimization
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Bistra Dilkina
University of Southern California United States of America
combinatorial optimization
stochastic optimization
discrete optimization
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Sven Polak
Tilburg University Netherlands
combinatorial optimization
optimization
polynomial semidefinite optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
data-driven optimization
optimization models
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
distributed optimization
optimization algorithms
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John Jørgensen
Technical University of Denmark Denmark
numerical optimization
dynamic optimization
process optimization
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John Chinneck
Carleton University Canada
optimization
feasibility optimization
mixed integer optimization
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Ruiwei Jiang
University of Michigan United States of America
stochastic optimization
data-enabled stochastic optimization
discrete optimization
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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
optimization
robust bayesian optimization
distributionally robust optimization
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Jan Kronqvist
Royal Institute of Technology Sweden
mixed-integer optimization
optimization algorithms
ai in optimization
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Yinyu Ye
Stanford University United States of America
dynamic optimization
continuous optimization
discrete optimization
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