Integer programming formulations for three sequential discrete competitive location problems with foresight
DOI10.1016/j.ejor.2017.08.041zbMath1374.90273OpenAlexW2754999615MaRDI QIDQ1681140
Michael Poss, Marcos Costa Roboredo, Artur Alves Pessoa, José Gentile
Publication date: 23 November 2017
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-01653290/file/2016_PC_MA_ST_Gentile_Pessoa_Roboredo_Poss_v4.pdf
integer programmingcombinatorial optimizationStackelberg problemcompetitive locationmaximal covering location problem
Integer programming (90C10) Combinatorial optimization (90C27) Production theory, theory of the firm (91B38) Discrete location and assignment (90B80) Spatial models in economics (91B72)
Related Items (10)
Uses Software
Cites Work
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- Sequential competitive location on networks
- Designing robust coverage networks to hedge against worst-case facility losses
- Multiple voting location and single voting location on trees
- Cutting plane algorithms for solving a stochastic edge-partition problem
- Competitive spatial models
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- Sequential location problems
- A branch-and-cut algorithm for the discrete \((r| p)\)-centroid problem
- Discrete models for competitive location with foresight
- Intersection Cuts for Bilevel Optimization
- Shortest-path network interdiction
- The Mixed Integer Linear Bilevel Programming Problem
- Competitive Location Models: A Framework and Bibliography
- Bilevel programming and price setting problems
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