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师资队伍

  • 金波

  • 副教授
  • 邮箱:jinbo@szu.edu.cn
  • 办公地址:丽湖校区明理楼

教师简介

  金波,管理科学博士,深圳大学管理学院副教授、硕士研究生导师,深圳市“孔雀计划”海外高层次人才(C类)。本科就读于浙江工业大学计算机科学与技术专业(自动化第二专业),曾获第34届国际大学生程序设计竞赛(ICPC)亚洲区哈尔滨站金牌(总排名第三)。2010年获得学士学位后,赴香港城市大学管理科学系任研究助理。2011年开始攻读博士学位,主要研究方向为港口码头作业优化。2015年获得博士学位后,先后于阿里、华为、南科大等企事业单位从事大数据分析和网络资源调度等方面的预研工作。

  2020年加入深圳大学管理学院,目前已于Omega、TRE、EJOR、COR等国际一流期刊发表第一作者和通讯作者论文数篇,担任TRE、EJOR、CAIE、COR等国际期刊审稿专家,主持国家自然科学基金青年科学基金项目1项、深圳市高等院校稳定支持计划项目1项,获2021年IEEE进化计算大会多模态多目标路径规划优化竞赛第一名、2022年INFORMS服务科学会议最佳会议论文奖。

  研究方向包括数学规划与优化算法,及其在生产、制造、交通运输与物流领域的应用。

  Google Scholar:https://scholar.google.com/citations?user=JF2RAwMAAAAJ

  GitHub:https://github.com/jinboszu


期刊论文

  13. Xiaofan Lai, Xiaolong Lu, Bo Jin ✉ (2026). Data-driven university examination timetabling with consideration of student stress. Computers & Operations Research, 192, 107496.

  12. 李子龙, 程天健, 金波, 程文明, 曹轶伦, 郭鹏 ✉ (2025). 智能叉车密集仓储系统料框出库翻箱问题研究. 浙江大学学报(工学版), 59(10), 2023–2033.

  11. Qianwen Zhu, Bo Jin ✉ (2024). A three-stage heuristic for optimizing container relocations in maritime container terminals. Transport, 39(2), 146–160.

  10. 余明珠, 梁卓斌, 金波 ✉ (2023). 基于仿真优化的自动化集装箱码头出口箱箱位分配. 运筹与管理, 32(5), 181–189.

  9. Bo Jin , Shunji Tanaka (2023). An exact algorithm for the unrestricted container relocation problem with new lower bounds and dominance rules. European Journal of Operational Research, 304(2), 494514.

  8. Bo Jin, Zhishan Yu, Mingzhu Yu ✉ (2022). Inbound container remarshaling problem in an automated container terminal. Transportation Research Part E: Logistics and Transportation Review, 168, 102938.

  7. Bo Jin, Mingzhu Yu  (2021). Note on the dominance rules in the exact algorithm for the container pre-marshalling problem by Tanaka & Tierney (2018). European Journal of Operational Research, 293(2), 802807.

  6. Bo Jin ✉ (2020). A note on “An exact algorithm for the blocks relocation problem with new lower bounds”. Computers & Operations Research, 124, 105082.

  5. Bo Jin (2020). On the integer programming formulation for the relaxed restricted container relocation problem. European Journal of Operational Research, 281(2), 475482.

  4. Ning Wang, Bo Jin , Zizhen Zhang, Andrew Lim (2017). A feasibility-based heuristic for the container pre-marshalling problem. European Journal of Operational Research, 256(1), 90101.

  3. Ning Wang, Bo Jin , Andrew Lim (2015). Target-guided algorithms for the container pre-marshalling problem. Omega, 53, 6777.

  2. Bo Jin , Wenbin Zhu, Andrew Lim (2015). Solving the container relocation problem by an improved greedy look-ahead heuristic. European Journal of Operational Research, 240(3), 837847.

  1. 徐新黎, 金波, 陈胜勇, 管秋, 王万良 (2010). 智能搜索算法教学软件的设计与开发. 计算机教育, (15), 104110.


会议论文

  6. Gangqiao Wang, Zexi Xu, Yiping Liu, Bo Jin (2022). A spatial-domain-based eco-driving trajectory planning method for connected and automated vehicles. In Proceedings of the International Conference on Smart Transportation and City Engineering (STCE 2024), pp. 110–117.

  5. Bo Jin ✉, Tian Tong (2025). Optimizing Container Ship Stowage Planning with Yard Clash Considerations: Enhancing Yard and Quay Crane Coordination. In Proceedings of the 2025 5th International Conference on Consumer Electronics and Computer Engineering (ICCECE), pp. 461–470.

  4. Mingzhu Yu, Zhishan Yu ✉, Bo Jin, Junfeng Wu (2022). Empty container allocation and transshipment in road-rail transportation network. In Proceedings of the 2022 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA), pp. 1–6.

  3. Bo Jin, Zhishan Yu, Mingzhu Yu  (2022). Mixed-integer linear programming formulations for the inbound container remarshaling problem in an automated container terminal. In R. Qiu, W. K. V. Chan, W. Chen, Y. Badr, & C. Zhang (Eds.), City, Society, and Digital Transformation: Proceedings of the 2022 INFORMS International Conference on Service Science (ICSS), pp. 277292. Cham: Springer.

  2. Bo Jin (2021). Multi-objective A* algorithm for the multimodal multi-objective path planning optimization. In Proceedings of the 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 17041711.

  1. Bo Jin , Andrew Lim, Wenbin Zhu (2013). A greedy look-ahead heuristic for the container relocation problem. In M. Ali, T. Bosse, K. V. Hindriks, M. Hoogendoorn, C. M. Jonker, & J. Treur (Eds.), Recent Trends in Applied Artificial Intelligence: Proceedings of the 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), pp. 181190. Berlin, Heidelberg: Springer.

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