Machine learning-based optimisation in a two-echelon logistics network for the dry port operation in China

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2023-09-06 DOI:10.1080/23302674.2023.2252321

Qin Li, Yu Wang, Yu Xiong, Shu Zhang, Yu Zhou

引用次数: 0

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基于机器学习的中国陆港运营两级物流网络优化

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.