Mixed-Integer Nonlinear Programming for Energy-Efficient Container Handling: Formulation and Customized Genetic Algorithm

Energy consumption is expected to be reduced while maintaining high productivity for container handling. This paper investigates a new energy-efficient scheduling problem of automated container terminals, in which quay cranes (QCs) and lift automated guided vehicles (AGVs) cooperate to handle inboun...

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Vydané v:	IEEE transactions on intelligent transportation systems Ročník 23; číslo 8; s. 10542 - 10555
Hlavní autori:	Xin, Jianbin, Meng, Chuang, D'Ariano, Andrea, Wang, Dongshu, Negenborn, Rudy R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Automated container terminals Automated guided vehicles Containers Cranes Customization Energy consumption energy efficiency genetic algorithm Genetic algorithms Handling Heuristic methods Job shop scheduling Mixed integer mixed-integer nonlinear programming Nonlinear programming Optimization Task analysis Task scheduling Transport buildings, stations and terminals
ISSN:	1524-9050, 1558-0016
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