The inbound container space allocation in the automated container terminals-Reference-Cited by-同舟云学术

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The inbound container space allocation in the automated container terminals

Published:2021-10 Issue: Volume:179 Page:115014
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Yu Mingzhu,Liang Zhuobin,Teng Yi,Zhang Zizhen,Cong Xuwen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference40 articles.

1. A genetic algorithm to solve the storage space allocation problem in a container terminal;Bazzazi;Computers & Industrial Engineering,2009

2. Models for the discrete berth allocation problem: a computational comparison;Buhrkal;Transportation Research Part E: Logistics and Transportation Review,2011

3. Storage yard operations in container terminals: Literature overview, trends, and research directions;Carlo;European Journal of Operational Research,2014

4. A novel two-Stage heuristic for solving storage space allocation problems in rail–water intermodal container terminals;Chang;Symmetry,2019

5. The storage location assignment problem for outbound containers in a maritime terminal;Chen;International Journal of Production Economics,2012

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mathematical modeling and optimizing of yard layout in automated container terminals;Expert Systems with Applications;2024-12

2. Container Rehandling Probability Prediction Model Based on Seq2Seq Network;IEEE Transactions on Reliability;2024-09

3. Improvement of Container Dynamic Allocation for Automated Container Terminals in the Post-Epidemic Era;Journal of Marine Science and Engineering;2024-05-22

4. An Adaptive Large Neighborhood Search Algorithm for Equipment Scheduling in the Railway Yard of an Automated Container Terminal;Journal of Marine Science and Engineering;2024-04-25

5. A decision framework for decomposed stowage planning for containers;Transportation Research Part E: Logistics and Transportation Review;2024-03

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