Genetic Algorithm Based Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
hybrid optimization algorithms
computational optimization
process optimization
evolutionary multi-objective optimization
multi-objective optimization
meta-modeling 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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Beatrice Ombuki-berman
Brock University Canada
genetic algorithms
genetic programming
combinatorial optimization
multi-objective optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
stochastic optimization
distributed optimization
power system optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
stochastic optimization
optimization
combinatorial optimization
approximation algorithms
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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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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
real-time embedded optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
data-driven optimization
algorithms
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Can Li
Purdue University United States of America
large-scale optimization
optimization-inspired neural networks
generative ai for optimization models
discrete global optimization
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Juergen Branke
Warwick Business School United Kingdom
simulation-based optimization
multi-objective optimization
bayesian optimization
nature inspired optimization
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Ismail Ali
University of New South Wales Australia
combinatorial optimization
evolutionary algorithms
simulation-based optimization techniques
optimization problems
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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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Arkadi Nemirovski
Georgia Institute of Technology United States of America
stochastic optimization
optimization theory
continuous optimization
algorithms
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John Chinneck
Carleton University Canada
optimization
feasibility optimization
algorithms
nonlinear optimization
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George Papavassilopoulos
University of Southern California United States of America
genetic algorithms
optimization algorithms
optimization
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Tarek Hegazi
University of Waterloo Canada
genetic algorithms
optimization
evolutionary algorithms
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Christian Jacob
University of Calgary Canada
genetic algorithms
genetic programming
evolutionary algorithms
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Ali Asim
Aalborg University Denmark
genetic algorithms
optimization
efficiency optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
simulation-based optimization
multi-objective optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
optimization
distributed optimization
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