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SUMMARY:Robust Optimization Methods: Insights from Aircraft Routing and Ot
 her Applications
DTSTART:20090813T111500
DTSTAMP:20260407T011322Z
UID:52bd2d0e35dfede5999a3e28c7044411b15caff77337a54fbbcc3c31
CATEGORIES:Conferences - Seminars
DESCRIPTION:Lavanya Marla\, Phd at MIT\, Boston\, USA\nIn this work\, we c
 onsider large-scale resource allocation problems under uncertainty. Inhere
 nt real-world uncertainty guarantees that deterministic optimal solutions 
 are rarely\, if ever\, executed. By proactively modelling uncertainty\, ro
 bust methods attempt to generate solutions that are less vulnerable to unc
 ertainty. We will examine the application of robust methods such as the Be
 rtsimas and Sim approach and Chance-Constrained Programming\, which repres
 ent two different paradigms: worst-case and probabilistic modeling.\nWe di
 scuss differences in models and solutions generated by these approaches\, 
 and propose extensions to these models that overcome some crucial limitati
 ons.
LOCATION:GC B3 424
STATUS:CONFIRMED
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