A robust and efficient algorithm for planar competitive location problems

J. Redondo, J. Fernández (), I. García and P. Ortigosa
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J. Fernández: http://www.um.es/geloca/gio/josemain.html

Annals of Operations Research, 2009, vol. 167, issue 1, 87-105

Abstract: In this paper we empirically analyze several algorithms for solving a Huff-like competitive location and design model for profit maximization in the plane. In particular, an exact interval branch-and-bound method and a multistart heuristic already proposed in the literature are compared with uego (Universal Evolutionary Global Optimizer), a recent evolutionary algorithm. Both the multistart heuristic and uego use a Weiszfeld-like algorithm as local search procedure. The computational study shows that uego is superior to the multistart heuristic, and that by properly fine-tuning its parameters it usually (in the computational study, always) find the global optimal solution, and this in much less time than the interval branch-and-bound method. Furthermore, uego can solve much larger problems than the interval method. Copyright Springer Science+Business Media, LLC 2009

Keywords: Continuous location; Competition; Weiszfeld-like algorithm; Heuristic; Evolutionary algorithm; Computational study (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/s10479-007-0233-x

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