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- W2936568150 abstract "In this paper we consider the optimal location of interacting hub facilities. Using the well-known quadratic integer programming formulation of the uncapacitated, single allocation, p-hub median problem (USApHMP), we demonstrate a mapping onto a Hopfield neural network which guarantees feasibility of the final solution. We also propose a novel modification to the Hopfield network which enables escape from local minima, thus improving final solution quality. A practical application of the USApHMP - a postal delivery network - is used to demonstrate that the quality of these Hopfield network solutions compares favorably to those obtained using both exact methods and simulated annealing. Well-known data sets from the literature are also tested using the Hopfield network approaches, and provide further evidence that optimal or nearoptimal solutions can consistently be obtained. The speed advantages which can be attained when implementing neural networks in hardware make the Hopfield neural network a very attractive potential alternative to the existing solution techniques." @default.
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- W2936568150 date "1999-12-01" @default.
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- W2936568150 title "Neural versus traditional approaches to the location of interacting hub facilities" @default.
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