Maximal Covering Location Problems on networks with regional demand

Rafael Blanquero, Emilio Carrizosa and Boglárka G.-Tóth

Omega, 2016, vol. 64, issue C, 77-85

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).

Keywords: Maximal Covering Location Problem; Location on networks; Regional demand; Global optimization; Branch and bound (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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DOI: 10.1016/j.omega.2015.11.004

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