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- W2058649403 abstract "This study improves the neural network algorithm that was presented by J.J.Hopfield for solving TSP(travelling salesman problem) and gets an effective algorithm whose time complexity is O(n*n), so we can solve quickly TSP more than 500 cities in microcomputer. The paper considers the algorithm based on the replacement function of the V Value. The improved algorithm can greatly reduces the time and space complexities of Hopfield method. The TSP examples show that the proposed algorithm could efficiently find a satisfactory solution and has a fast convergence speed." @default.
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- W2058649403 date "2012-06-01" @default.
- W2058649403 modified "2023-09-23" @default.
- W2058649403 title "Neural Network Algorithm for Solving Large Scale Travelling Salesman Problems" @default.
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- W2058649403 doi "https://doi.org/10.4028/www.scientific.net/amr.542-543.1398" @default.
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