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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Autors principals:	Yilei Xie, Wenhui Zhang, Xiangwei Hao
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-01-01
Col·lecció:	Applied Sciences
Matèries:	North-to-South Grain Transportation multimodal transport carbon emissions NSGA-II-Q-learning hybrid algorithm
Accés en línia:	https://www.mdpi.com/2076-3417/16/1/510
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