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

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 tot...

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Autores Principales: Gutiérrez Andrade, Miguel Ángel, de los Cobos Silva, Sergio Gerardo, Pérez Salvador, Blanca Rosa, Goddard Close, John
Formato: Artículo
Idioma: Español
Publicado: 2015
Acceso en línea: http://revistas.ucr.ac.cr/index.php/matematica/article/view/230
http://hdl.handle.net/10669/12873
Sumario: 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.