张真真

张真真

副教授、博士生导师,管理科学与工程系
同济大厦A楼1211室

zhenzhenzhang@tongji.edu.cn
(审稿邀约:zhenzhenzhang222@gmail.com)

研究领域:大规模整数规划;随机与鲁棒优化;算法设计;智慧物流;智能制造

欢迎对管理科学和运筹优化感兴趣的优秀学生报考硕士、博士或硕博连读,要求:真正对科研有兴趣,具有积极的探索精神;逻辑思维清晰,诚信务实,勤奋刻苦;具有良好的数学、计算机基础,熟练掌握至少一种编程语言;熟练掌握英语沟通与写作,有较强的动手和学习能力。

欢迎有相关领域研究经验的博士毕业生应聘博士后,我们将根据个人前期成果提供有竞争力的待遇。

  • 2014-2016 博士 香港城市大学 管理科学系
  • 2009-2012 硕士 厦门大学   计算机科学与技术系
  • 2005-2009 学士 厦门大学   计算机科学与技术系

主讲课程
运筹学(本科), 鲁棒优化(研究生)

科研基金
F1. 负责人, 国家自然科学基金青年科学基金项目, 72101187,《城市物流中考虑时变和多行程约束的带时间窗车辆路径问题研究》, 2022.1-2024.12.
F2. 负责人, 华为项目,《大规模产能规划问题建模及求解》, 2023.1-2023.12.
F3. 负责人, 横向项目,《大规模船舶排期问题的智能决策技术》, 2024.

代表性期刊论文 (*通讯作者,#共同一作)
J1. Z. Zhang, Y. Zhang, R. Baldacci. Generalized riskiness index in vehicle routing under uncertain travel times: formulations, properties, and exact solution framework. Transportation Science, accepted, 2024.

J2. Y. Zhao, Z. Chen, Z. Zhang*. Distributionally robust chance-constrained p-hub center problem. INFORMS Journal on Computing, 35(6), 1361-1382, 2023.

J3. Y. Zhao, Z. Chen, A. Lim, Z. Zhang*. Vessel deployment with limited information: distributionally robust chance constrained models. Transportation Research Part B: Methodological, 161, 197-217, 2022.

J4. Y. Zhang#, Z. Zhang#, A. Lim, M. Sim. Robust data-driven vehicle routing with time windows. Operations Research, 69(2), 469-485, 2021.

J5. Z. Zhang, Z. Luo, R. Baldacci, A. Lim. A Benders decomposition approach for the multi-vehicle production routing problem with order-up-to-level policy. Transportation Science, 55(1), 160–178, 2021.

J6. Z. Zhang, Z. Luo, H. Qin, A. Lim. Exact algorithms for the vehicle routing problem with time windows and combinatorial auction. Transportation Science, 53(2), 427–441, 2019.

J7. A. Lim, Z. Zhang*, H. Qin. Pickup and delivery service with manpower planning in Hong Kong public hospitals. Transportation Science, 51(2), 688–705, 2017.

J8. Q. Hu, Z. Zhang, A. Lim. Transportation service procurement problem with transit time. Transportation Research Part B: Methodological, 86, 19–36, 2016.

J9. Z. Zhang, L. Wei, A. Lim. An evolutionary local search for the capacitated vehicle routing problem minimizing fuel consumption under three-dimensional loading constraints. Transportation Research Part B: Methodological, 82, 20–35, 2015.

其他期刊论文
J10. J. Zhao, M. Poon, V.Y.F. Tan, Z. Zhang*. A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem. European Journal of Operational Research, accepted, 2024.

J11. Z. Zhang*, Y. Che, Z. Liang. Split-demand multi-trip vehicle routing problem with simultaneous pickup and delivery in airport baggage transit. European Journal of Operational Research, 312(3), 996-1010, 2024.

J12. Y. Che, Z. Zhang*. An Integer L-shaped algorithm for vehicle routing problem with simultaneous delivery and stochastic pickup. Computers & Operations Research, 154, 106201, 2023.

J13. Q. Hu#, Z. Zhang#, R. Baldacci, C.D. Tarantilis, E. Zachariadis. The bus sightseeing problem. International Transactions in Operational Research, 30(6), 4026-4060, 2023.

J14. J. Zhao, M. Poon, Z. Zhang, R. Gu. Adaptive large neighborhood search for the time-dependent profitable dial-a-ride problem. Computers & Operations Research, 147, 105938, 2022.

J15. K. Hu, Y. Che, Z. Zhang*. Scheduling unrelated additive manufacturing machines with practical constraints. Computers & Operations Research, 144, 105847, 2022.

J16. Z. Luo, M. Poon, Z. Zhang, Z. Liu, A. Lim. The multi-visit traveling salesman problem with multi-drones. Transportation Research Part C: Emerging Technologies, 128, 103172, 2021.

J17. B. Pan, Z. Zhang*, A. Lim. Multi-trip time-dependent vehicle routing problem with time windows. European Journal of Operational Research, 291(1), 218–231, 2021.

J18. B. Pan, Z. Zhang*, A. Lim. A hybrid algorithm for time-dependent vehicle routing problem with time windows. Computers & Operations Research, 128, 105193, 2021.

J19. Y. Che, K. Hu, Z. Zhang, A. Lim. Machine scheduling with orientation selection and two-dimensional packing for additive manufacturing. Computers & Operations Research, 130, 105245, 2021.

J20. Z. Zhang, B. Cheang, C. Li, A. Lim. Multi-commodity demand fulfilment via simultaneous pickup and delivery for a fast fashion retailer. Computers & Operations Research, 103, 81–96, 2019.

J21. L. Wei, Z. Zhang*, D. Zhang, S.C.H. Leung. A simulated annealing algorithm for the capacitated vehicle routing problem with two-dimensional loading constraints. European Journal of Operational Research, 265(3), 843–859, 2018.

J22. L. Wei, Z. Zhang*, D. Zhang, A. Lim. A variable neighborhood search for the capacitated vehicle routing problem with two-dimensional loading constraints. European Journal of Operational Research, 243(3), 798–814, 2015.

J23. Z. Zhang, M. Liu, A. Lim. A memetic algorithm for patient transportation problem. Omega, 54, 60–71, 2015.

J24. B. Cheang, C. Li, A. Lim, Z. Zhang. Identifying patterns and structural influences in the scientific communication of business. Scientometrics, 103(1), 159–189, 2015.

J25. L. Wei, Z. Zhang*, A. Lim. An adaptive variable neighborhood search for heterogeneous fleet vehicle routing problem with three-dimensional loading constraints. IEEE Computational Intelligence Magazine, 9(4), 18–30, 2014.

J26. S.C.H. Leung, Z. Zhang, D. Zhang, X. Hua, M.K. Lim. A meta-heuristic algorithm for heterogeneous fleet vehicle routing problems with two-dimensional loading constraints. European Journal of Operational Research, 225(2), 199–210, 2013.

J27. P.C. Chang, W.H. Huang, Z. Zhang. A puzzle-based genetic algorithm with block mining and recombination heuristic for the traveling salesman problem. Journal of Computer Science and Technology, 27(5), 937–949, 2012.

J28. W.H. Huang, P.C. Chang, M.H. Lim, Z. Zhang. Memes co-evolution strategies for fast convergence in solving single machine scheduling problems. International Journal of Production Research, 50(24), 7357–7377, 2012.

人才培养与科研团队

  • 潘斌斌,博士生(2017--2021),新加坡国立大学(联合指导),当前任职:Research Scientist,美国亚马逊
  • 赵皇杰,博士生(2017--2021),新加坡国立大学(联合指导),当前任职:Senior Machine Learning Engineer, Grab, 新加坡
  • 车玉馨,博士生(2018--2022),新加坡国立大学(联合指导),当前任职:Operational Research Engineer,字节跳动,新加坡
  • 胡侃鑫,博士生(2018--2022),新加坡国立大学(联合指导),当前任职:特聘副研究员,浙江工业大学
  • 赵婧怡,博士生(2019--2023),新加坡国立大学(联合指导),当前任职:Postdoc,Polytechnique Montréal,加拿大
  • 杨楷,博士在读(2022--),同济大学
  • 曹长新,硕博连读(2022--),同济大学
  • 安子轩,硕士在读(2022--),同济大学
  • 恽昕宇,硕博连读(2023--),同济大学

工作经历

  • 2020/11-至今 同济大学经济与管理学院 副教授
  • 2017/03-2020/11 新加坡国立大学工业工程系 助理教授
  • 2016/10-2017/03 新加坡国立大学工业工程系 访问研究员

社会服务

  • 管理科学与工程学会 交通运输管理分会执行秘书长
  • 世界交通运输大会 货运与物流系统优化技术委员会代理主席
  • 中国运筹学会 随机服务与运作管理分会理事

期刊审稿(部分)

  • Operations Research
  • Transportation Science
  • INFORMS Journal on Optimization
  • Manufacturing & Service Operations Management
  • Transportation Research Part B、C、D、E
  • European Journal of Operational Research
  • IISE Transactions
  • Computers & Operations Research
  • International Journal of Production Research
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Intelligent Transportation Systems
  • 管理科学学报
  • 中国管理科学
  • 上海市第十六届哲学社会科学优秀成果 论文类二等奖, 2023
  • Meritorious Service Award, Transportation Science, 2023 Link
  • Best Paper Award, The 14th International Workshop on Computational Transportation Science, 2023
  • Best Paper Award, World Transport Convention, 2023
  • Best Paper Finalist Award, International Conference on Logistics and Maritime Systems, 2019
  • Outstanding Academic Performance Award, City University of Hong Kong, 2016
 

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