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Algorithms and uncertainty sets for data-driven robust shortest path problems

André Chassein, Trivikram Dokka and Marc Goerigk

European Journal of Operational Research, 2019, vol. 274, issue 2, 671-686

Abstract: We consider robust shortest path problems, where the aim is to find a path that optimizes the worst-case performance over an uncertainty set containing all relevant scenarios for arc costs. The usual approach for such problems is to assume this uncertainty set given by an expert who can advise on the shape and size of the set.

Keywords: Robustness and sensitivity analysis; Robust shortest paths; Uncertainty sets; Data-driven robust optimization (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (18)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:274:y:2019:i:2:p:671-686

DOI: 10.1016/j.ejor.2018.10.006

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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