A general variable neighborhood search for solving the uncapacitated single allocation p-hub median problem

Aleksandar Ilic, Dragan Urosevic, Jack Brimberg and Nenad Mladenovic

European Journal of Operational Research, 2010, vol. 206, issue 2, 289-300

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: Variable; neighborhood; search; Nested; variable; neighborhood; descent; Discrete; location; p-Hub; median (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (26)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:206:y:2010:i:2:p:289-300

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