A robust and efficient algorithm for planar competitive location problems

نویسندگان

  • Juana López Redondo
  • José-Jesús Fernández
  • Inmaculada García
  • Pilar Martínez Ortigosa
چکیده

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.

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عنوان ژورنال:
  • Annals OR

دوره 167  شماره 

صفحات  -

تاریخ انتشار 2009