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• W3100662723 startingPage "033114" @default.
• W3100662723 abstract "The Hopfield-Tank (1985) recurrent neural network architecture for the Traveling Salesman Problem is generalized to a fully interconnected cellular neural network of regular oscillators. Tours are defined by synchronization patterns, allowing the simultaneous representation of all cyclic permutations of a given tour. The network converges to local optima some of which correspond to shortest-distance tours, as can be shown analytically in a stationary phase approximation. Simulated annealing is required for global optimization, but the stochastic element might be replaced by chaotic intermittency in a further generalization of the architecture to a network of chaotic oscillators." @default.
• W3100662723 created "2020-11-23" @default.
• W3100662723 creator A5006095142 @default.
• W3100662723 date "2009-09-01" @default.
• W3100662723 modified "2023-09-24" @default.
• W3100662723 title "A “cellular neuronal” approach to optimization problems" @default.
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• W3100662723 doi "https://doi.org/10.1063/1.3184829" @default.
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• W3100662723 hasPublicationYear "2009" @default.
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