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P. Chardaire and J. L. Lutton, “Using Simulated Annealing to Solve Concentrator Location Problems in Telecommunication Networks,” In: R. V. Vidal, Ed., Applied Simulated Annealing, Springer, Berlin, 1993, pp. 175-199. doi:10.1007/978-3-642-46787-5_9

has been cited by the following article:

• TITLE: Application of the p-Median Problem in School Allocation

  AUTHORS: Fagueye Ndiaye, Babacar Mbaye Ndiaye, Idrissa Ly

  KEYWORDS: Non-Convex Optimization; Location Models; School Allocation

  JOURNAL NAME: American Journal of Operations Research, Vol.2 No.2, June 20, 2012

  ABSTRACT: This paper focus on solving the problem of optimizing students’ orientation. After four years spent in secondary school, pupils take exams and are assigned to the high school. The main difficulty of Education Department Inspection (EDI) of Dakar lies in the allocation of pupils in the suburbs. In this paper we propose an allocation model using the p-median problem. The model takes into account the distance of the standards imposed by international organizations between pupil’s home and school. The p-median problem is a location-allocation problem that takes into account the average (total) distance between demand points (pupil’s home) and facility (pupil’s school). The p-median problem is used to determine the best location to place a limited number of schools. The model has been enhanced and applied to a wide range of school location problems in suburbs. After collecting necessary numerical data to each EDI, a formulation is presented and computational results are carried out.