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

DOI10.1007/s10589-018-0032-0zbMath1412.90160OpenAlexW2889382438MaRDI QIDQ1756575

Patrice Marcotte, Aimé Kamgaing Kuiteing, Gilles Savard

Publication date: 21 December 2018

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10589-018-0032-0

zbMATH Keywords

networksmixed integer programmingpricingbilevel programmingelastic demandnon-convex programming

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Mixed integer programming (90C11) Nonconvex programming, global optimization (90C26)

Related Items (1)

Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods

Uses Software

• CPLEX

Cites Work

• Unnamed Item
• Jointly constrained bilinear programs and related problems: An overview
• New formulations and valid inequalities for a bilevel pricing problem
• A branch and cut algorithm for nonconvex quadratically constrained quadratic programming
• A trust-region method for nonlinear bilevel programming: algorithm and computational exper\-ience
• A Bilevel Model of Taxation and Its Application to Optimal Highway Pricing
• The Cutting-Plane Method for Solving Convex Programs
• Path-based formulations of a bilevel toll setting problem
• Trust Region Methods

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