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A robust robust optimization result
Authors:Martina GancarovaMichael J. Todd
Affiliation:
  • School of Operations Research and Information Engineering, Cornell University, Ithaca, NY 14853, USA
  • Abstract:We study the loss in objective value when an inaccurate objective is optimized instead of the true one, and show that “on average” this loss is very small, for an arbitrary compact feasible region.
    Keywords:Robust optimization   Sensitivity of objective   Probabilistic analysis
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