Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/9376
Title: An iterated local search heuristic for the heterogeneous fleet vehicle routing problem.
Authors: Vaz Penna, Puca Huachi
Subramanian, Anand
Ochi, Luiz Satoru
Keywords: Heterogeneous fleet vehicle routing problem
Fleet size and mix
Iterated local search
Metaheuristic
Issue Date: 2013
Citation: VAZ PENNA, P. H.; SUBRAMANIAN, A.; OCHI, L. S. An iterated local search heuristic for the heterogeneous fleet vehicle routing problem. Journal of Heuristics, Dordrecht, v. 19,p. 201-232, 2013. Disponível em: <https://link.springer.com/article/10.1007/s10732-011-9186-y>. Acesso em: 16 jan. 2018.
Abstract: This paper deals with the Heterogeneous Fleet Vehicle Routing Problem (HFVRP). The HFVRP is NP-hard since it is a generalization of the classical Vehicle Routing Problem (VRP), in which clients are served by a heterogeneous fleet of vehicles with distinct capacities and costs. The objective is to design a set of routes in such a way that the sum of the costs is minimized. The proposed algorithm is based on the Iterated Local Search (ILS) metaheuristic which uses a Variable Neighborhood Descent procedure, with a random neighborhood ordering (RVND), in the local search phase. To the best of our knowledge, this is the first ILS approach for the HFVRP. The developed heuristic was tested on well-known benchmark instances involving 20, 50, 75 and 100 customers. These test-problems also include dependent and/or fixed costs according to the vehicle type. The results obtained are quite competitive when compared to other algorithms found in the literature.
URI: http://www.repositorio.ufop.br/handle/123456789/9376
metadata.dc.identifier.uri2: https://link.springer.com/article/10.1007/s10732-011-9186-y
ISSN: 15729397 
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