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Skip to Search Results- 2Stochastic optimization
- 1Decision rules
- 1Electric Vehicle
- 1Multistage adaptive optimization
- 1Parametric programming
- 1Robust optimization
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Fall 2021
This thesis aims to investigate, develop and advance solution techniques for optimization under uncertainty in process control, scheduling and operations research applications. Decision rule methods offer a rich and flexible framework for solving these classes of problems. Recent literature has...
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Spring 2021
Along with the growing environmental concerns, it is envisioned that electric vehicles (EVs) will play a significant role in transportation systems in the near future. Due to the ever-increasing penetration rate of EVs, new opportunities and challenges come one after another. On one hand, the...