A Granular Variable Tabu Neighborhood Search for the capacitated location-routing problem

John Willmer Escobar, Rodrigo Linfati, Maria G. Baldoquin and Paolo Toth

Transportation Research Part B: Methodological, 2014, vol. 67, issue C, 344-356

Abstract: This paper proposes a new heuristic algorithm for the Capacitated Location-Routing Problem (CLRP), called Granular Variable Tabu Neighborhood Search (GVTNS). This heuristic includes a Granular Tabu Search within a Variable Neighborhood Search algorithm. The proposed algorithm is experimentally compared on the benchmark instances from the literature with several of the most effective heuristics proposed for the solution of the CLRP, by taking into account the CPU time and the quality of the solutions obtained. The computational results show that GVTNS is able to obtain good average solutions in short CPU times, and to improve five best known solutions from the literature. The main contribution of this paper is to show a successful new heuristic for the CLRP, combining two known heuristic approaches to improve the global performance of the proposed algorithm for what concerns both the quality of the solutions and the computing times required to find them.

Keywords: Capacitated Location Routing Problem; Granular Tabu Search; Variable Neighborhood Search (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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DOI: 10.1016/j.trb.2014.05.014

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