Abstract
This paper deals with two Recoverable Robust (RR) models for combinatorial optimization problems with uncertain costs. These models were originally proposed by Büsing (2012) for the shortest path problem with uncertain costs. In this paper, we generalize the RR models to a class of combinatorial optimization problems with uncertain costs and provide new positive and negative complexity results in this area.
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Acknowledgments
The third author of the paper was partially supported by Polish Committee for Scientific Research, grant N N206 492938.
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Kasperski, A., Kurpisz, A., Zieliński, P. (2014). Recoverable Robust Combinatorial Optimization Problems. In: Helber, S., et al. Operations Research Proceedings 2012. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-00795-3_22
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DOI: https://doi.org/10.1007/978-3-319-00795-3_22
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