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Learning Priority Indices for Energy-Aware Scheduling of Jobs on Batch Processing Machines.
- Source :
-
IEEE Transactions on Semiconductor Manufacturing . Feb2024, Vol. 37 Issue 1, p3-15. 13p. - Publication Year :
- 2024
-
Abstract
- A scheduling problem for parallel batch processing machines (BPMs) with jobs having unequal ready times in semiconductor wafer fabrication facilities (wafer fabs) is studied in this paper. A blended objective function combining the total weighted tardiness (TWT) and the total electricity cost (TEC) under a time-of-use (TOU) tariff is considered. A genetic programming (GP) procedure is designed to automatically discover priority indices for a heuristic scheduling framework. Results of computational experiments are reported that demonstrate that the learned priority indices lead to high-quality schedules in a short amount of computing time. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08946507
- Volume :
- 37
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Semiconductor Manufacturing
- Publication Type :
- Academic Journal
- Accession number :
- 175370948
- Full Text :
- https://doi.org/10.1109/TSM.2023.3326865