Run Time Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
hybrid optimization algorithms
multi-objective optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
topology optimization
adaptive optimization
section optimization
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Paolo Rossetti
Università della Svizzera italiana Switzerland
process optimization
process performance improvement
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Xue Jun Cheng
University of Melbourne Australia
software optimization
software performance
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Anis Assad Neto
University of Southern Denmark Denmark
simulation optimization
real-time quality control
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Suvrajeet Sen
University of Southern California United States of America
optimization theory
large scale stochastic optimization
optimization technologies
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Suvrajeet Sen
University of Southern California United States of America
large scale stochastic optimization
optimization technologies
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Hooman Askari Nasab
University of Alberta Canada
optimization techniques
multi-objective optimization
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Emadeldeen Hassan
Umeå University Sweden
optimization techniques
topology optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
supply chain optimization
energy systems optimization
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Kalyanmoy Deb
Michigan State University United States of America
multi-objective optimization
optimization methods
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Beatrice Ombuki-berman
Brock University Canada
multi-objective optimization
combinatorial optimization
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John Chinneck
Carleton University Canada
optimization
feasibility optimization
nonlinear optimization
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Malcolm Low
Singapore Institute of Technology Singapore
multi-objectives optimization
combinatorial optimization
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Yuvraj Gajpal
University of Manitoba Canada
machine scheduling
combinatorial optimization
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Xing Wang
Purdue University United States of America
optimization methods
combinatorial optimization
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Ali Ahrari
University of New South Wales Australia
multi-objective optimization
multi-modal optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
constrained optimization
distributed optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
constrained optimization
distributed optimization
nonlinear optimization
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Murray Woodside
Carleton University Canada
real-time software
model-based optimization
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Michael Patriksson
Chalmers University of Technology Sweden
combinatorial optimization
nonlinear optimization
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