A New Theoretical Framework for Robust Optimization Under Multi-Band Uncertainty

Christina Büsing () and Fabio D’Andreagiovanni ()
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Christina Büsing: RWTH Aachen University
Fabio D’Andreagiovanni: Zuse-Institut Berlin (ZIB)

A chapter in Operations Research Proceedings 2012, 2014, pp 115-121 from Springer

Abstract: Abstract We provide an overview of our main results about studying Linear Programming Problems whose coefficient matrix is subject to uncertainty and the uncertainty is modeled through a multi-band set. Such an uncertainty set generalizes the classical one proposed by Bertsimas and Sim [3] and is particularly suitable in the common case of arbitrary non-symmetric distributions of the parameters. Our investigations were inspired by practical needs of our industrial partner in ongoing projects with focus on the design of robust telecommunications networks.

Keywords: Fading Coefficient; Linear Program Problem; Robust Optimization; Power Emission; Robust Counterpart (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-00795-3_17

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DOI: 10.1007/978-3-319-00795-3_17

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