Article ID: | iaor20122391 |
Volume: | 219 |
Issue: | 3 |
Start Page Number: | 707 |
End Page Number: | 718 |
Publication Date: | Jun 2012 |
Journal: | European Journal of Operational Research |
Authors: | Nemirovski Arkadi |
Keywords: | programming: convex |
A natural way to handle optimization problem with data affected by stochastic uncertainty is to pass to a chance constrained version of the problem, where candidate solutions should satisfy the randomly perturbed constraints with probability at least 1‐