Optimization Under Uncertainty

Francisco Saldanha-da-Gama and Shuming Wang
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Francisco Saldanha-da-Gama: Sheffield University Management School
Shuming Wang: University of Chinese Academy of Science

Chapter Chapter 4 in Facility Location Under Uncertainty, 2024, pp 51-92 from Springer

Abstract: Abstract This chapter discusses several aspects of relevance in optimization under uncertainty. Different paradigms are reviewed, such as Robust Optimization, Stochastic Programming, Chance-Constrained Programming, and Distributionally Robust Optimization. The reviewed concepts, models, and techniques seek to provide the reader with the background for better capturing the contents related to facility location to be presented in the remainder of the volume.

Keywords: Modeling paradigms; Properties; Solution techniques; Discrete optimization under uncertainty; Multi-stage decision-making (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-55927-3_4

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DOI: 10.1007/978-3-031-55927-3_4

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