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A Hybrid GRASP+VND Heuristic for the Two-Echelon Vehicle Routing Problem Arising in City Logistics
Author(s) -
Zheng-yang Zeng,
Weisheng Xu,
Zhiyu Xu,
Weihui Shao
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/517467
Subject(s) - vehicle routing problem , grasp , greedy randomized adaptive search procedure , benchmark (surveying) , heuristics , mathematical optimization , heuristic , context (archaeology) , computer science , routing (electronic design automation) , iterated local search , greedy algorithm , metaheuristic , mathematics , computer network , programming language , geography , paleontology , geodesy , biology
The two-echelon vehicle routing problem (2E-VRP) is a variant of the classical vehicle routing problem (VRP) arising in two-level transportation systems such as those encountered in the context of city logistics. In the 2E-VRP, freight from a depot is compulsorily delivered through intermediate depots, named satellites. The first echelons are routes that distribute freight from depot to satellites, and the second are those from satellites to customers. This problem is solved by a hybrid heuristic which is composed of a greedy randomized adaptive search procedure (GRASP) with a route-first cluster-second procedure embedded and a variable neighborhood descent (VND), called GRASP

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