Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions

Machine scheduling aims to optimally assign jobs to a single or a group of machines while meeting manufacturing rules as well as job specifications. Optimizing the machine schedules leads to significant reduction in operational costs, adherence to customer demand, and rise in production efficiency....

Celý popis

Podrobná bibliografia

Vydané v:	Computers & industrial engineering Ročník 200; s. 110856
Hlavní autori:	Khadivi, Maziyar, Charter, Todd, Yaghoubi, Marjan, Jalayer, Masoud, Ahang, Maryam, Shojaeinasab, Ardeshir, Najjaran, Homayoun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.02.2025
Predmet:	Artificial intelligence Deep reinforcement learning Graph neural networks Machine scheduling Neural combinatorial optimization Production scheduling Neural combinatorial optimization Deep reinforcement learning Machine scheduling Graph neural networks Production scheduling Artificial intelligence
ISSN:	0360-8352
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!