Artificial Neural Networks for Finite Capacity Scheduling: A Comparative Study

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Atıf İçin Kopyala

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)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 15 Sayı: 4
• Basım Tarihi: 2008
• Dergi Adı: INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.349-359
• Yıldız Teknik Üniversitesi Adresli: Evet

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.