Deep learning-enhanced quantum optimization for integrated job scheduling in container terminals

This study explored the challenge of multi-equipment collaborative scheduling and management within container terminals, focusing on essential equipment such as reach stackers, automated guided vehicles (AGVs), quay cranes, and yard cranes. The job shop scheduling problem (JSSP) in container handlin...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 148; s. 110431
Hlavní autoři:	Cuong, Truong Ngoc, Kim, Hwan-Seong, Bao Long, Le Ngoc, You, Sam-Sang, Tan, Nguyen Duy
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.05.2025
Témata:	Container terminal Deep learning Job scheduling Multiple equipment Quantum optimization algorithm Deep learning Multiple equipment Container terminal Job scheduling Quantum optimization algorithm
ISSN:	0952-1976
On-line přístup:	Získat plný text
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