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Combined location-routing problems—a neural network approach
Authors:Martin Schwardt  Kathrin Fischer
Institution:1.Lübecker Hafengesellschaft mbH,Lübeck,Germany;2.Institut für Transportwirtschaft und Logistik,Wirtschaftsuniversit?t Wien,Vienna,Austria
Abstract:While in location planning it is often assumed that deliveries are made on a direct-trip basis, in fact deliveries, e.g., to the different supermarkets belonging to a specific chain or to retail outlets of any kind, usually are performed as round-trips. Therefore, it is often necessary to combine the two issues of locating a depot and of planning tours in one problem formulation.In this paper, a neural network approach based on a self-organizing map is proposed for solving such single-depot location-routing problems in the plane. The results derived by this approach are compared with those which can be found by different well-known heuristics, and it is shown that the self-organising map approach competes well with these concepts. Moreover, some modifications which rely on ideas from Tabu Search can be shown to be especially useful for increasing the number of feasible solutions found by the self-organising map approach. Finally, the implementation of the Weiszfeld procedure for a final improvement of the optimal depot location proves to be a useful device.
Keywords:Location-routing problems  Neural networks  Self-organising maps  Euclidean distance  Weber problem
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