Publications
2025
A Q-learning-based algorithm for the block relocation problem
Liu, L., Feng, Y., Zeng, Q., Chen, Z., & Li, Y. (2025). A Q-learning-based algorithm for the block relocation problem. Journal of Heuristics, 31(1). doi:10.1007/s10732-024-09545-y
Leveraging machine learning and optimization models for enhanced seaport efficiency
Jahangard, M., Xie, Y., & Feng, Y. (n.d.). Leveraging machine learning and optimization models for enhanced seaport efficiency. Maritime Economics & Logistics. doi:10.1057/s41278-024-00309-w
2024
Development and safety evaluation of an adaptive personalized speed guidance system for on-ramp merging in highway service areas
Li, H., Xiao, T., Li, Y., & Feng, Y. (2024). Development and safety evaluation of an adaptive personalized speed guidance system for on-ramp merging in highway service areas. Transportation Research Part A: Policy and Practice, 190, 104296. doi:10.1016/j.tra.2024.104296
2022
Service fairness and value of customer information for the stochastic container relocation problem under flexible service policy
Feng, Y., Song, D. -P., Li, D., & Xie, Y. (2022). Service fairness and value of customer information for the stochastic container relocation problem under flexible service policy. Transportation Research Part E: Logistics and Transportation Review, 167, 102921. doi:10.1016/j.tre.2022.102921
Smart stacking for import containers using customer information at automated container terminals
Feng, Y., Song, D. -P., & Li, D. (2022). Smart stacking for import containers using customer information at automated container terminals. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 301(2), 502-522. doi:10.1016/j.ejor.2021.10.044
Yard Operations Optimisation at Maritime Terminals under Uncertain Truck Arrivals: Container Stacking, Retrieval, and Relocation
Feng, Y. (2022, January 27). Yard Operations Optimisation at Maritime Terminals under Uncertain Truck Arrivals: Container Stacking, Retrieval, and Relocation.
2020
The stochastic container relocation problem with flexible service policies
Feng, Y., Song, D., Li, D., & Zeng, Q. (2020). The stochastic container relocation problem with flexible service policies. Transportation Research Part B: Methodological: an international journal, 141, 116-163. doi:10.1016/j.trb.2020.09.006
2019
Integrated optimization of pickup sequence and container rehandling based on partial truck arrival information
Zeng, Q., Feng, Y., & Yang, Z. (2019). Integrated optimization of pickup sequence and container rehandling based on partial truck arrival information. COMPUTERS & INDUSTRIAL ENGINEERING, 127, 366-382. doi:10.1016/j.cie.2018.10.024
2017
Optimizing berth allocation and storage space in direct transshipment operations at container terminals
Zeng, Q., Feng, Y., & Chen, Z. (2017). Optimizing berth allocation and storage space in direct transshipment operations at container terminals. MARITIME ECONOMICS & LOGISTICS, 19(3), 474-503. doi:10.1057/mel.2016.2
2016
Berth allocation model based on direct transshipment of trunk line and feeder vessels at container terminals
Zeng, Q., Feng, Y., & Du, P. (2016). Berth allocation model based on direct transshipment of trunk line and feeder vessels at container terminals. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 36(1), 154-163. doi:10.12011/1000-6788(2016)01-0154-10