Refined cut selection for benders decomposition: applied to network capacity expansion problems

René Brandenberg () and Paul Stursberg ()
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René Brandenberg: Technical University of Munich
Paul Stursberg: Technical University of Munich

Mathematical Methods of Operations Research, 2021, vol. 94, issue 3, No 2, 383-412

Abstract: Abstract In this paper, we present a new perspective on cut generation in the context of Benders decomposition. The approach, which is based on the relation between the alternative polyhedron and the reverse polar set, helps us to improve established cut selection procedures for Benders cuts, like the one suggested by Fischetti et al. (Math Program Ser B 124(1–2):175–182, 2010). Our modified version of that criterion produces cuts which are always supporting and, unless in rare special cases, facet-defining. We discuss our approach in relation to the state of the art in cut generation for Benders decomposition. In particular, we refer to Pareto-optimality and facet-defining cuts and observe that each of these criteria can be matched to a particular subset of parametrizations for our cut generation framework. As a consequence, our framework covers the method to generate facet-defining cuts proposed by Conforti and Wolsey (Math Program Ser A 178:1–20, 2018) as a special case. We conclude the paper with a computational evaluation of the proposed cut selection method. For this, we use different instances of a capacity expansion problem for the european power system.

Keywords: Benders decomposition; Decomposition methods; Cutting planes; Reverse polar set; Alternative polyhedron; Pareto optimal cuts; Facet defining cuts (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s00186-021-00756-8

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