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A genetic algorithm and data mining to resolve a job shop schedule

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3 Author(s)
Youssef, H. ; Lab. d''Automatique de Besancon, Ecole Nationale Superieure de Mecanique et de Microtechnique, Besancon, France ; Brigitte, M. ; Noureddine, Z.

We study a job shop scheduling problem using a Genetic Algorithm and Data Mining. The developed Genetic Algorithm generates a learning population of optimal solutions. We used C4/5 decision tree to mind the population. Some decision rules finding for each machine an affectation order of operations were finally induced.

Published in:

Emerging Technologies and Factory Automation, 2001. Proceedings. 2001 8th IEEE International Conference on  (Volume:2 )

Date of Conference:

15-18 Oct. 2001