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A survey of adjustable robust optimization
(Elsevier, 2019-09)
Static robust optimization (RO) is a methodology to solve mathematical optimization problems with uncertain data. The objective of static RO is to find solutions that are immune to all perturbations of the data in a so-called ...
A robust optimization approach for production planning under exogenous planned lead times
(IEEE, 2019)
Many production planning models applied in semiconductor manufacturing represent lead times as fixed exogenous parameters. However, in reality, lead times must be treated as realizations of released lots' cycle times, which ...
Robust reformulations of ambiguous chance constraints with discrete probability distributions
(Balikesir University, 2019)
This paper proposes robust reformulations of ambiguous chance constraints when the underlying family of distributions is discrete and supported in a so-called ``p-box'' or ``p-ellipsoidal'' uncertainty set. Using the robust ...
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