A neural network model for scheduling problems
Date
1996
Authors
Sabuncuoğlu, İ.
Gurgun, B.
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
European Journal of Operational Research
Print ISSN
0377-2217
Electronic ISSN
Publisher
Elsevier
Volume
93
Issue
2
Pages
288 - 299
Language
English
Type
Journal Title
Journal ISSN
Volume Title
Series
Abstract
Artificial neural networks (ANNs) have been successfully applied to solve a variety of problems. This paper proposes a new neural network approach to solve the single machine mean tardiness scheduling problem and the minimum makespan job shop scheduling problem. The proposed network combines the characteristics of neural networks and algorithmic approaches. The performance of the network is compared with the existing scheduling algorithms under various experimental conditions. A comprehensive bibliography is also provided in the paper.