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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 ...
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 ...
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