A distributed approach solving partially flexible job-shop scheduling problem with a Q-learning effect-Reference-Cited by-同舟云学术

A distributed approach solving partially flexible job-shop scheduling problem with a Q-learning effect

Published:2017-07 Issue:1 Volume:50 Page:15890-15895
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Bouazza W.,Sallez Y.,Beldjilali B.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference21 articles.

1. The Third Comprehensive Survey on Scheduling Problems with Setup Times/costs;Allahverdi;European Journal of Operational Research,2015

2. Cyber-Physical Systems Architecture for Self-Aware Machines in Industry 4 . 0 Environment;Bagheri;IFAC-PapersOnLine,2015

3. Self-Organized Holonic Multi-Agent Manufacturing System: The Behavioural Perspective, in: Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on, (pp. 3829–3834);Barbosa,2013

4. Bouazza, W., Aissani, N. & Beldjilali, B. (2014). PLM through Intelligent Products Quality Control in the Pharmaceutical Industry.

5. A Model for Manufacturing Scheduling Optimization through Learning Intelligent Products;Bouazza,2015

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