Neural versus traditional approaches to the location of interacting hub facilities

DOI10.1016/S0966-8349(96)00017-4zbMath0927.90073OpenAlexW1968510242WikidataQ62033483 ScholiaQ62033483MaRDI QIDQ4228760

Mohan Krishnamoorthy, Kate A. Smith, Marimuthu Palaniswami

Publication date: 19 December 1999

Published in: Location Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0966-8349(96)00017-4

zbMATH Keywords

simulated annealingHopfield neural networkhub locationpostal delivery

Mathematics Subject Classification ID

Discrete location and assignment (90B80)

Related Items (12)

Modelling and analysis of hub-and-spoke networks under stochastic demand and congestion ⋮ Two genetic algorithms for solving the uncapacitated single allocation \(p\)-hub median problem ⋮ The single allocation problem in the interacting three-hub network ⋮ Allocation strategies in hub networks ⋮ The 2-allocation \(p\)-hub median problem and a modified Benders decomposition method for solving hub location problems ⋮ Solution approaches for the capacitated single allocation hub location problem using ant colony optimisation ⋮ Network hub location problems: The state of the art ⋮ Hub-and-spoke network design with congestion ⋮ Solving the uncapacitated hub location problem using genetic algorithms ⋮ HubLocator: An exact solution method for the multiple allocation hub location problem ⋮ The capacitated multiple allocation hub location problem: Formulations and algorithms ⋮ Solving large single allocation \(p\)-hub problems with two or three hubs

Uses Software

• GAMS

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