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We investigate an approach to the approximation of ambiguous chance constrained programs (ACCP) in which the underlying distribution describing the random parameters is itself uncertain. We model this uncertainty with the assumption that the unknown distribution belongs to a closed ball centered around a fixed and known distribution. Using only samples drawn from the central distribution, we approximate...
A general model is developed to study how network routing can be reconfigured quickly without incurring transient congestion. Assuming both initial and target configurations are congestion-free, it is known that transient congestion may still occur during the reconfiguration process if links contain a mix of traffic flows following old and new routing rules, resulting from variation of switch reaction...
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