DocumentCode
1538849
Title
Non-energy based neural networks for job-shop scheduling
Author
Jeng, MuDer ; Chang, ChunYu
Author_Institution
Nat. Taiwan Ocean Univ., China
Volume
33
Issue
5
fYear
1997
fDate
2/27/1997 12:00:00 AM
Firstpage
399
Lastpage
400
Abstract
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
Keywords
neural nets; optimisation; resource allocation; scheduling; energy functions; heuristic rule; initial inputs; job-shop scheduling; local minima; near-optimal solutions; nonenergy based neural networks; sensitivity; synchronous neural network architecture;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19970269
Filename
581047
Link To Document