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A practical guide to robust optimization
(Elsevier, 2015-06)
Robust optimization is a young and active research field that has been mainly developed in the last 15 years. Robust optimization is very useful for practice, since it is tailored to the information at hand, and it leads ...
On discounted stochastic games with incomplete information on payoffs and a security application
(Elsevier, 2014-01)
This paper presents a robust optimization model for n-person finite state/action stochastic games with incomplete information on payoffs. For polytopic uncertainty sets, we propose an explicit mathematical programming ...
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 ...
Robust dual response optimization
(Taylor & Francis, 2016)
This article presents a robust optimization reformulation of the dual response problem developed in response surface methodology. The dual response approach fits separate models for the mean and the variance, and analyzes ...
A robust optimization approach for humanitarian needs assessment planning under travel time uncertainty
(Elsevier, 2020-04-01)
We focus on rapid needs assessment operations conducted immediately after a disaster to identify the urgent needs of the affected community groups, and address the problem of selecting the sites to be visited by the ...
Robust strategic planning of dynamic wireless charging infrastructure for electric buses
(Elsevier, 2022-02-01)
Electromobility in public bus systems is growing rapidly and experiencing a fundamental transformation in their infrastructure and operations. The dilemma of limited driving range and charging time of battery electric buses ...
Branch-and-price approach for robust parallel machine scheduling with sequence-dependent setup times
(Elsevier, 2022-09-16)
This paper studies a machine scheduling problem that minimizes the worst-case total tardiness for unrelated parallel machines with sequence-dependent setup and uncertain processing times. We propose a robust optimization ...
Robust parameter design and optimization for quality engineering
(Springer, 2022-03)
This paper proposes a methodology to determine the optimal settings of key decision variables that affect the resilience of an engineering design against uncertainty. Uncertainty in quality engineering is often caused by ...
Electric bus fleet scheduling under travel time and energy consumption uncertainty
(Elsevier, 2023-11)
The public transportation system is experiencing a substantial shift due to the rapid expansion of electromobility infrastructure and operations. This transformation is anticipated to contribute to decarbonizing and promoting ...
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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