Scheduling of semiconductor wafer fabrication system is identified as a complex problem, involving multiple and conflicting objectives (makespan and minimizing waiting time for instance) to satisfy. In this study, we propose an effective approach based an artificial neural network technique embedded in a multi-objective optimization loop for multi-decision scheduling problems in a semiconductor wafer fabrication environment.
Published in:
Artificial Intelligence, 2008. MICAI '08. Seventh Mexican International Conference on
Date of Conference: 27-31 Oct. 2008