Artificial Neural Networks for Finite Capacity Scheduling: A Comparative Study
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, vol.15, no.4, pp.349-359, 2008 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 15 Issue: 4
- Publication Date: 2008
- Journal Name: INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.349-359
- Yıldız Technical University Affiliated: Yes
Abstract
In this study artificial neural networks are applied for finite capacity scheduling. Utilisation of artificial neural networks on solving finite scheduling problems is examined. Also a comparative model is proposed by using multi layer perceptron (MLP) neural networks and branch-and-bound algorithm, and carried out to solve a real world problem in a job shop scheduling system.