Deep reinforcement learning based optimization of automated guided vehicle time and energy consumption in a container terminal

The energy efficiency of port container terminal equipment and the reduction of CO2 emissions are among one of the biggest challenges facing every seaport in the world. The article presents the modeling of the container transportation process in a terminal from the quay crane to the stack using batt...

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מידע ביבליוגרפי

Principais autores:	Darius Drungilas, Mindaugas Kurmis, Audrius Senulis, Zydrunas Lukosius, Arunas Andziulis, Jolanta Januteniene, Marijonas Bogdevicius, Valdas Jankunas, Miroslav Voznak
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2023-03-01
סדרה:	Alexandria Engineering Journal
נושאים:	Automated guided vehicle (AGV) Container terminal Energy consumption Deep reinforcement learning Modeling Optimization
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S1110016822008419
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!