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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 ...
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 ...
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