Robust Optimization Methods: Insights from Aircraft Routing and Other Applications

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Event details

Date 13.08.2009
Hour 11:15
Speaker Lavanya Marla, Phd at MIT, Boston, USA
Location
GC B3 424
Category Conferences - Seminars
In this work, we consider large-scale resource allocation problems under uncertainty. Inherent real-world uncertainty guarantees that deterministic optimal solutions are rarely, if ever, executed. By proactively modelling uncertainty, robust methods attempt to generate solutions that are less vulnerable to uncertainty. We will examine the application of robust methods such as the Bertsimas and Sim approach and Chance-Constrained Programming, which represent two different paradigms: worst-case and probabilistic modeling. We discuss differences in models and solutions generated by these approaches, and propose extensions to these models that overcome some crucial limitations.

Practical information

  • General public
  • Free

Contact

  • Marianne Ruegg

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