Artificial Neural Networks for Finite Capacity Scheduling: A Comparative Study


GÜNERİ A. F., GUMUS A. T.

INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, cilt.15, sa.4, ss.349-359, 2008 (SCI-Expanded) identifier identifier

Özet

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.