Linear and conic reformulations for the maximum capture location problem under multinomial logit choice

Altekin, Tevhide and Daşcı, Abdullah and Karatas, Mumtaz (2021) Linear and conic reformulations for the maximum capture location problem under multinomial logit choice. Optimization Letters . ISSN 1862-4472 (Print) 1862-4480 (Online) Published Online First http://dx.doi.org/10.1007/s11590-020-01684-y

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Abstract

This paper presents three reformulations for the well-known maximum capture location problem under multinomial logit choice. The problem can be cast as an integer fractional program and it has been the subject of several linear reformulations in the past. Here we develop two linear and a conic reformulation based on alternative treatments of fractional programs. Numerical experiments conducted on established sets of instances have shown that conic reformulation has greatly improved the solution times as well as the size of the solvable problems as compared to the most successful reformulations to date.
Item Type: Article
Uncontrolled Keywords: location, maximum capture, random utility model, competitive facility location, conic programming
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Sabancı Business School
Sabancı Business School > Operations Management and Information Systems
Depositing User: Abdullah Daşcı
Date Deposited: 28 Aug 2021 13:03
Last Modified: 26 Apr 2022 10:27
URI: https://research.sabanciuniv.edu/id/eprint/42323

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