Revista de Matemática: Teoría y Aplicaciones (Feb 2009)
El problema del multicubrimiento: una aplicación para la selección de paradas en la red de transporte de la Ciudad de México
Abstract
In this paper an heuristic algorithm is developed. Its implementation is developed as 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 of the 236 routes in the study comprising a total of 8390 stops. This problem is presented as a multicover problem subject to 236 restrictions and 8390 binary variables. Given that this an NP-hard problem, it was implemented an heuristic algorithm to determine the sampling points. Keywords: Multicover problem, heuristic methods, greedy algorithms, combinatorial optimization.