Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning

Online vehicle routing is an important task of the modern transportation service provider. Contributed by the ever-increasing real-time demand on the transportation system, especially small-parcel last-mile delivery requests, vehicle route generation is becoming more computationally complex than bef...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 20; H. 10; S. 3806 - 3817
Hauptverfasser:	Yu, James J. Q., Yu, Wen, Gu, Jiatao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Combinatorial analysis Complexity Computational modeling Computer simulation Computing time deep reinforcement learning Green products intelligent transportation logistic system Logistics Machine learning Mathematical programming neural combinatorial optimization Neural networks Online vehicle routing Optimization Process parameters Production scheduling Route planning Routing Strategy Training Transportation Transportation networks Transportation services Transportation systems Vehicle routing
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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