A hybrid GRASP-tabu search metaheuristic for a Four-Layer Location-Routing Problem
by Mohsen Hamidi; Kambiz Farahmand; S. Reza Sajjadi; Kendall E. Nygard
International Journal of Logistics Systems and Management (IJLSM), Vol. 12, No. 3, 2012

Abstract: The location-routing problem simultaneously considers location, allocation, and vehicle routing decisions to design optimal distribution networks. In this paper, a hybrid GRASP-tabu search metaheuristic developed for a complex four-layer LRP is presented. The LRP integrates location, allocation, vehicle routing, and transshipment problems. The metaheuristic decomposes the problem into two sub-problems, a location-allocation-transshipment problem and a routing problem. Two metaheuristics of GRASP and tabu search are combined to solve the first sub-problem in which the routing cost is considered implicitly. The Clarke-Wright Savings algorithm and a node ejection chains algorithm are used to solve the second sub-problem.

Online publication date: Fri, 28-Nov-2014

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