Maximal Covering Location Problems on networks with regional demand

Abstract Covering problems are well studied in the Operations Research literature under the assumption that both the set of users and the set of potential facilities are finite. In this paper, we address the following variant, which leads to a Mixed Integer Nonlinear Program (MINLP): locations of p...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Blanquero Rafael
Carrizosa Emilio
Gazdag-Tóth Boglárka
Dokumentumtípus: Cikk
Megjelent: 2016
Sorozat:OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 64
doi:10.1016/j.omega.2015.11.004

mtmt:2992512
Online Access:http://publicatio.bibl.u-szeged.hu/18141
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520 3 |a Abstract Covering problems are well studied in the Operations Research literature under the assumption that both the set of users and the set of potential facilities are finite. In this paper, we address the following variant, which leads to a Mixed Integer Nonlinear Program (MINLP): locations of p facilities are sought along the edges of a network so that the expected demand covered is maximized, where demand is continuously distributed along the edges. This MINLP has a combinatorial part (which edges of the network are chosen to contain facilities) and a continuous global optimization part (once the edges are chosen, which are the optimal locations within such edges). A branch-and-bound algorithm is proposed, which exploits the structure of the problem: specialized data structures are introduced to successfully cope with the combinatorial part, inserted in a geometric branch-and-bound algorithm. Computational results are presented, showing the appropriateness of our procedure to solve covering problems for small (but non-trivial) values of p. 
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