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Optimization of Multimodal Transportation Routes for North-to-South Grain Transportation in China Considering Carbon Emissions

This study presents a multi-objective optimization framework for China’s North-to-South Grain Transportation (NSGT), balancing costs, time, carbon emissions, and grain quality loss to promote sustainable logistics. We propose a hybrid algorithm combining genetic optimization with reinforcement learn...

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Principais autores: Yilei Xie, Wenhui Zhang, Xiangwei Hao
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-01-01
Serier:Applied Sciences
Fag:
North-to-South Grain Transportation
multimodal transport
carbon emissions
NSGA-II-Q-learning hybrid algorithm
Online adgang:https://www.mdpi.com/2076-3417/16/1/510
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