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In this paper an heuristic algorithm is developed. Its implementation is developedas well, in order to solve a sampling problem in the urban transportation network in Mexico City. The problem consist of the selection of at least 2 points (stops) on each ofthe 236 routes in the study comprising a total of 8390 stops. This problem is presentedas a multicover problem subject to 236 restrictions and 8390 binary variables. Giventhat this an NP-hard problem, it was implemented an heuristic algorithm to determinethe sampling points.Keywords: Multicover problem, heuristic methods, greedy algorithms, combinatorial optimization.

El problema del multicubrimiento: una aplicación para la selección de paradas en la red de transporte de la Ciudad de México