Optimization Using Decomposition Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
meta-modeling optimization
hybrid optimization algorithms
multi-objective optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
constrained optimization
stochastic optimization
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
distributed optimization
constrained optimization
machine learning optimization
stochastic optimization
nonlinear optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
discrete optimization
combinatorial optimization
linear optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
optimization under uncertainty
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
convex optimization
combinatorial optimization
nonlinear optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
topology optimization
section optimization
adaptive optimization
form optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
convex optimization
large-scale optimization
non-convex optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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distributed optimization
power system optimization
global optimization
stochastic optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
nonlinear optimization
robust optimization
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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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Shixuan Zhang
Texas A&M University United States of America
polynomial optimization
integer optimization
stochastic optimization
robust optimization
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Thomas Stidsen
Technical University of Denmark Denmark
optimization using decomposition
optimization using metaheuristics
telecommunication optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
convex optimization
combinatorial optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
convex optimization
combinatorial optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
convex optimization
combinatorial optimization
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Venkat Chandrasekaran
California Institute of Technology United States of America
optimization
convex optimization
combinatorial optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Chuan He
Linköping University Sweden
decentralized optimization
large-scale optimization
continuous optimization
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Katya Scheinberg
Georgia Institute of Technology United States of America
optimization
convex optimization
continuous optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
distributed optimization
stochastic optimization
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