Pricing and revenue maximization over a multicommodity transportation network: the nonlinear demand case

Aimé Kamgaing Kuiteing, Patrice Marcotte () and Gilles Savard
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Aimé Kamgaing Kuiteing: École Polytechnique de Montréal
Patrice Marcotte: Université de Montréal
Gilles Savard: École Polytechnique de Montréal

Computational Optimization and Applications, 2018, vol. 71, issue 3, No 3, 671 pages

Abstract: Abstract This paper is concerned with the design of efficient exact and heuristic algorithms for addressing a bilevel network pricing problem where demand is a nonlinear function of travel cost. The exact method is based on the piecewise linear approximation of the demand function, yielding mixed integer programming formulations, while heuristic procedures are developed within a bilevel trust region framework.

Keywords: Pricing; Bilevel programming; Elastic demand; Networks; Non-convex programming; Mixed integer programming (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10589-018-0032-0

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