Combinatorial Robust Optimization with Decision-Dependent Information Discovery and Polyhedral Uncertainty

Given a nominal combinatorial optimization problem, we consider a robust two-stages variant with polyhedral cost uncertainty, called Decision-Dependent Information Discovery (DDID). In the first stage, DDID selects a subset of uncertain cost coefficients to be observed, and in the second-stage, DDID...

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Bibliographic Details
Main Authors: Omer, Jérémy, Poss, Michael, Rougier, Maxime
Format: Article
Language:English
Published: Université de Montpellier 2024-09-01
Series:Open Journal of Mathematical Optimization
Subjects:
Online Access:https://ojmo.centre-mersenne.org/articles/10.5802/ojmo.33/
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