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- W2357019170 abstract "Based on Hopfield neural network and simulated annealing,an algorithm for the Job-Shop scheduling problem was proposed.This algorithm put forward the constraint of the Job-Shop scheduling,then formulates the energy function of Hopfield neural network according to constraints directly.Lest the network converged into the local minimum of the function the simulated annealing was applied.Thus the global minimum of the Job-Shop scheduling problem as a feasible scheme(appears.) The results of simulation calculation show that this algorithm is efficient." @default.
- W2357019170 created "2016-06-24" @default.
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- W2357019170 date "2007-01-01" @default.
- W2357019170 modified "2023-09-28" @default.
- W2357019170 title "A Job-Shop scheduling solution based on neural network" @default.
- W2357019170 hasPublicationYear "2007" @default.
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