Authors: Ilić, Aleksandar
Urošević, Dragan 
Brimberg, Jack
Mladenović, Nenad 
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: A general variable neighborhood search for solving the uncapacitated single allocation p-hub median problem
Journal: European Journal of Operational Research
Volume: 206
Issue: 2
First page: 289
Last page: 300
Issue Date: 16-Oct-2010
Rank: M21a
ISSN: 03772217
DOI: 10.1016/j.ejor.2010.02.022
Abstract: 
We present a new general variable neighborhood search approach for the uncapacitated single allocation p-hub median problem in networks. This NP hard problem is concerned with locating hub facilities in order to minimize the traffic between all origin-destination pairs. We use three neighborhoods and efficiently update data structures for calculating new total flow in the network. In addition to the usual sequential strategy, a new nested strategy is proposed in designing a deterministic variable neighborhood descent local search. Our experimentation shows that general variable neighborhood search based heuristics outperform the best-known heuristics in terms of solution quality and computational effort. Moreover, we improve the best-known objective values for some large Australia Post and PlanetLab instances. Results with the new nested variable neighborhood descent show the best performance in solving very large test instances.
Keywords: Discrete location | Nested variable neighborhood descent | p-Hub median | Variable neighborhood search
Publisher: Elsevier
Project: Serbian Ministry of Science and Environmental Protection, Grant 144007

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