An Accelerated Benders Decomposition Algorithm for Solving a Double-Type Double-Standard Maximal Covering Location Problem

Ashkan Fakhri (), Antonios Fragkogios and Georgios K. D. Saharidis
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Ashkan Fakhri: University of Science and Technology of Mazandaran
Antonios Fragkogios: University of Thessaly
Georgios K. D. Saharidis: University of Thessaly

SN Operations Research Forum, 2021, vol. 2, issue 1, 1-24

Abstract: Abstract In this paper, a double-type double-standard model (DtDsM) for maximal covering location problem is proposed which has several applications in determining the location of public emergency facilities. DtDsM includes two types of facilities: normal and backup facilities. Although backup facilities have a greater coverage distance, they offer not a full service but only a primary service. In DtDsM, each demand point must lie within the coverage distance of a backup facility if it does not lie in the coverage distance of a normal facility ensuring it to receive minimal primary services within a predetermined time. Furthermore, an accelerated Benders decomposition algorithm is proposed to solve the model. The speed and accuracy of the algorithm are compared with the commercial solver CPLEX.

Keywords: Maximal covering; Public emergency services; Backup-facility location; Accelerated Benders decomposition (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s43069-020-00050-z

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