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- W136384337 abstract "In addition to the classical heuristic algorithms of operations research there have also been several approaches based on artificial neural networks which solve the traveling salesman problem (TSP). Their efficiency, however, decreases as the problem size (number of cities) increases. An idea to reduce the complexity of a large-scale TSP instance is to decompose or partition it into smaller subproblems, which are easier to solve. In this paper we introduce an all-neural decomposition heuristic that is based on a recent self-organizing map called KNIES which has been successfully implemented in solving both the Euclidean TSP and the Euclidean Hamiltonian path problem." @default.
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- W136384337 date "2000-08-20" @default.
- W136384337 modified "2023-09-24" @default.
- W136384337 title "A Kohonen-like decomposition method for the traveling salesman problem—KNIES_DECOMPOSE" @default.
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