Multimodal transportation routing optimization based on multi-objective Q-learning under time uncertainty

Multimodal transportation is a modern way of cargo transportation. With the increasing demand for cargo transportation, higher requirements are being placed on multimodal transportation multi-objective routing optimization. In multimodal transportation multi-objective routing optimization, in respon...

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Veröffentlicht in:	Complex & intelligent systems Jg. 10; H. 2; S. 3133 - 3152
Hauptverfasser:	Zhang, Tie, Cheng, Jia, Zou, Yanbiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.04.2024 Springer Nature B.V Springer
Schlagworte:	Algorithms Cargo Cargo transportation Complexity Computational Intelligence Data Structures and Information Theory Emission analysis Emissions Engineering Learning Multi-objective Q-learning Multimodal transportation Multimodal transportation systems Multiple objective analysis Operating costs Optimization Original Article Skewed distributions Time uncertainty Transportation networks Uncertainty Undirected multiple-node transportation network Weighted sum Time uncertainty Undirected multiple-node transportation network learning Multimodal transportation Multi-objective Weighted sum
ISSN:	2199-4536, 2198-6053
Online-Zugang:	Volltext
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