- Vehicle
routing & scheduling
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Generalized combinatorial problems
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Interactive MOLP
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- Development of stochastic discrete optimization models and algorithms for sequential network interdiction
- Global optimization approaches for reliable network design problems
- Addressing distributed autonomous MDO problems via derivative-free optimization techniques
- Mathematical formulations and efficient algorithms for representing decision trees
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- Global optimization/Nonconvex programming
- Resource allocation problems
- Mathematical modeling of decision trees and event trees
- Parallel algorithms for multidisciplinary design optimization
- Optimization in transportation networks and location theory
- Semidefinite programming
- Optimization software modeling and development
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Jeff
Goldberg,
SIE
- Applied optimization modeling and solution
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- Integer Programming
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Computational Optimization
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Applications such as network design, supply chain management and logistics
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Kevin Lansey, CEEM
- Metaheuristic
development
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Soil aquifer treatment systems
- Water
distribution systems
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Reservoir Optimization
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- Modeling: representing the essential aspects of concrete problems as (usually, but not always, mathematical) objects and using those objects to improve decsion-making.
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Hedging: how to make decisions here and now which take into account: uncertainty about the future; and future opportunities to review policies.
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Computational Optimization: developing algorithms that combine the right amount of mathematical theory and brute force to take advantage of modern computing architectures
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- (Advanced Traffic and Logistics
Algorithms and Systems)
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,
AME
- Structural and Multidisciplinary optimization
- Reliability-based and robust optimal design
- Design of experiments and metamodeling techniques
- Evolutionary optimization algorithms
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- MURI: Multidisciplinary University Research Initiative
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- Please note that as of October 2006, Dr. Sen will be at Ohio State University.
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- Game
theory
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Conflict Resolution
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Multicriteria decision making
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Applications in natural resources management
& economics
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