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Recoverable Robust Combinatorial Optimization Problems

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Operations Research Proceedings 2012

Part of the book series: Operations Research Proceedings ((ORP))

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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Correspondence to Adam Kasperski .

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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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