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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Vydáno v:	Complex & intelligent systems Ročník 10; číslo 2; s. 3133 - 3152
Hlavní autoři:	Zhang, Tie, Cheng, Jia, Zou, Yanbiao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.04.2024 Springer Nature B.V Springer
Témata:	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
On-line přístup:	Získat plný text
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