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Non-energy based neural networks for job-shop scheduling

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2 Author(s)
MuDer Jeng ; Nat. Taiwan Ocean Univ., China ; Chun Yu Chang

A synchronous neural network architecture that implements a heuristic rule is proposed for solving the job-shop scheduling problem. The proposed rule can obtain better near-optimal solutions than some commonly used heuristic rules. The approach resolves drawbacks in prior work based on energy functions such as invalid solutions, local minima and sensitivity to initial inputs

Published in:

Electronics Letters  (Volume:33 ,  Issue: 5 )

Date of Publication:

27 Feb 1997

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