A comparison of trajectory granular based algorithms for the location-routing problem with heterogeneous fleet (LRPH)
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Fecha
2017
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Universidad Nacional de Colombia
Nombre de Curso
Licencia CC
Licencia CC
Resumen
We consider the Location-Routing Problem with Heterogeneous Fleet (LRPH) in which the goal is to determine the depots to be opened, the customers to be assigned to each open depot, and the corresponding routes fulfilling the demand of the customers and by considering a heterogeneous fleet. We propose a comparison of granular approaches of Simulated Annealing (GSA), of Variable Neighborhood Search (GVNS) and of a probabilistic Tabu Search (pGTS) for the LRPH. Thus, the proposed approaches consider a subset of the search space in which non-favorable movements are discarded regarding a granularity factor. The proposed algorithms are experimentally compared for the solution of the LRPH, by taking into account the CPU time and the quality of the solutions obtained on the instances adapted from the literature. The computational results show that algorithm GSA is able to obtain high quality solutions within short CPU times, improving the results obtained by the other proposed approaches.
Notas
Indexación: Scopus.
Palabras clave
Heterogeneous fleet, Location-routing problem, Metaheuristic algorithms, Probabilistic tabu search, Simulated annealing, Variable neighborhood search
Citación
DYNA (Colombia) Volume 84, Issue 200, 2017, Pages 193-201