Graph Convolutional Networks for logistics optimization : a survey of scheduling and operational applications

Rahimeh Neamatian Monemi, Shahin Gelareh, Pedro Henrique González, Lubin Cui, Karim Bouamrane, Yu-Hong Dai, Nelson Maculan

Year of publication:	2025
Authors:	Neamatian Monemi, Rahimeh ; Gelareh, Shahin ; González, Pedro Henrique ; Cui, Lubin ; Bouamrane, Karim ; Dai, Yu-Hong ; Maculan F., Nelson
Published in:	Transportation research : an international journal. - Oxford : Pergamon, Elsevier Science, ISSN 1878-5794, ZDB-ID 2013782-5. - Vol. 197.2025, Art.-No. 104083, p. 1-28
Subject:	Combinatorial optimization \| Dynamic graph processing \| Environmental sustainability \| Ethical implications \| Graph convolutional networks (GCNs) \| Logistics \| Meta-heuristics and Hybrid optimization techniques \| Multi-objective optimization \| Optimization \| Real-world applications \| Reinforcement learning (RL) and Deep reinforcement learning (DRL) \| Resource allocation \| Scalability Interpretability \| Scheduling and job scheduling \| Spatial–temporal dependencies \| Spectral graph theory \| Traffic flow optimization \| Transfer learning \| Traveling salesman problem (TSP) \| Vehicle routing problem (VRP) \| Tourenplanung \| Vehicle routing problem \| Graphentheorie \| Graph theory \| Scheduling-Verfahren \| Scheduling problem \| Logistik \| Rundreiseproblem \| Travelling salesman problem \| Lernprozess \| Learning process \| Lieferkette \| Supply chain \| Heuristik \| Heuristics \| Mathematische Optimierung \| Mathematical programming

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.1016/j.tre.2025.104083 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10015450384