Professor
Date of Employment:2018-07-12
School/Department:Traffic and Transportation Engineering
Administrative Position:Department Head
Education Level:With Certificate of Graduation for Doctorate Study
Business Address:School of Traffic & Transportation Engineering,Central South University
Sex:Male
Contact Information:cumtjibin@126.com
Degree:Doctoral Degree in Science
Status:Employed
Alma Mater:Huazhong University of Science and Technology
Discipline:Transportation Engineering
Ji Bin, male, Ph.D., Professor, Doctoral Supervisor, Head of the Department of Logistics, and member of the Professor Committee of the School of Traffic and Transportation Engineering. He has been supported by the Hunan Provincial Science and Technology Innovation Program (Huxiang Young Talents Program). His research focuses on combinatorial optimization theory and its applications in integrated transportation planning and management, including exact and heuristic methods, deep reinforcement learning, multi-objective programming, transportation service network optimization, vessel navigation scheduling, port resource scheduling, waterway lock scheduling, train operation plan optimization, logistics distribution optimization, vehicle routing problems, and optimal scheduling of hydropower and energy systems.
He has led multiple national, provincial, and ministerial-level research projects, including projects funded by the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation for Outstanding Young Scholars. He has published more than 70 papers in well-known domestic and international journals, including Transportation Research Part E: Logistics and Transportation Review (TRE), European Journal of Operational Research (EJOR), Computers & Operations Research (COR), IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), IEEE Transactions on Cybernetics (IEEE TCYB), and Control Theory & Applications. He currently serves as a reviewer for several international journals.
Mailing Address: School of Traffic and Transportation Engineering, Central South University, Tianxin District, Changsha, Hunan Province, China
Email: cumtjibin@126.com
Each year, multiple doctoral and master’s students are recruited. Applications are welcome from students majoring in mathematics, computer science, transportation engineering, logistics, and related fields who meet the following requirements:
Strong self-management ability, self-discipline, resilience, and a willingness to challenge limits and explore the unknown;
A strong interest in developing innovation capability, improving logical thinking, and strengthening communication and language-expression skills;
A solid foundation in mathematics, basic programming skills in at least one language such as C, C++, MATLAB, Python, or Java, and basic English reading and writing ability.
Italicized authors are students from the research group.
Ji B*, Wei Q., Wu Z. Y. et al. Joint serial lock schedule design and sailing speed optimization on inland waterway for emission reduction. European Journal of Operational Research, 2026. DOI: 10.1016/j.ejor.2026.01.038.
Ji B*, Hou R., Samson, S. Y. A lock and port resource collaborative scheduling method based on mathematical programming model and heuristic. European Journal of Operational Research, 2026, 329(2): 476–497.
Ji B*, Wei Q., Samson S. Y., et al. Joint Optimization of Berth Allocation and Ship Speed Considering Port Group Transshipment Rationalization. IEEE Transactions on Intelligent Transportation Systems, 2025. DOI: 10.1109/TITS.2025.3640007.
Ji B*, Xiao X., Yu S. S., et al. Min–max regret-based robust makespan minimization of the unrelated parallel batch processing machine scheduling problem with uncertain processing time. Engineering Optimization, 2025. DOI: 10.1080/0305215X.2025.2527731.
Song Y., Ji B.*, Samson, S. Y. Multi-Port Berth Allocation and Time-Invariant Quay Crane Assignment Problem With Speed Optimization. IEEE Transactions on Intelligent Transportation Systems, 2024. DOI: 10.1109/TITS.2024.3481490.
Ji B*, Song Y., Samson S. Y., Wei Qian. A modified adaptive large neighborhood search algorithm for solving the multi-port continuous berth allocation problem with vessel speed optimization. Computers & Industrial Engineering, 2024. DOI: 10.1016/j.cie.2024.110699.
Ji B., Zhang S., Samson S. Y., Xiao X., Chen C., Zheng G.* Novel Model and Solution Method for Flexible Job Shop Scheduling Problem with Batch Processing Machines. Computers & Operations Research, 2023, 161, 106442. SCI.
Ji B.*, Zhou S., Zhang D., Yu S. S. A branch-and-price-based heuristic for the vehicle routing problem with two-dimensional loading constraints and time windows. International Transactions in Operational Research, 2023. DOI: 10.1111/itor.13382. SCI.
Cen X. K., Zhou G., Ji B.*, et al. Modelling and heuristically solving three-dimensional loading constrained vehicle routing problem with cross-docking. Advanced Engineering Informatics, 2023, 57, 102029. SCI.
Zhou S., Ji B.*, Song Y., et al. Hub-and-spoke network design for container shipping in inland waterways. Expert Systems with Applications, 2023. DOI: 10.1016/j.eswa.2023.119850. SCI.
Xiao X., Ji B.*, Yu S., et al. A tabu-based adaptive large neighborhood search for scheduling unrelated parallel batch processing machines with non-identical job sizes and dynamic job arrivals. Flexible Services and Manufacturing Journal, 2023. DOI: 10.1007/s10696-023-09488-9. SCI.
Ji B.*, Zhang D., Zhang Z., et al. The generalized serial-lock scheduling problem on inland waterway: a novel decomposition-based solution framework and efficient heuristic approach. Transportation Research Part E: Logistics and Transportation Review, 2022. DOI: 10.1016/j.tre.2022.102935. SCI.
Ji B.*, Huang H., Yu S. An enhanced NSGA-II for solving berth allocation and quay crane assignment problem with stochastic arrival times. IEEE Transactions on Intelligent Transportation Systems, 2022. DOI: 10.1109/TITS.2022.3213834. SCI.
Ji B.*, Tang M., Wu Z., et al. Hybrid rolling-horizon optimization for berth allocation and quay crane assignment with unscheduled vessels. Advanced Engineering Informatics, 2022. DOI: 10.1016/j.aei.2022.101733. SCI.
Ji B.*, Zhang Z., Yu S., et al. Modelling and heuristically solving many-to-many heterogeneous vehicle routing problem with cross-docking and two-dimensional loading constraints. European Journal of Operational Research, 2022. DOI: 10.1016/j.ejor.2022.08.001. SCI.
Ji B.*, Zhang B., Yu S., et al. An enhanced Borg algorithmic framework for solving the hydro-thermal-wind co-scheduling problem. Energy, 2021, 218: 119512. SCI.
Ji B.*, Zhou S., Yu S., et al. An enhanced neighborhood search algorithm for solving the split delivery vehicle routing problem with two-dimensional loading constraints. Computers & Industrial Engineering, 2021, 162: 107720. SCI.
Ji B.*, Zhang D., Yu S., et al. An exact approach to the generalized serial-lock scheduling problem from a flexible job-shop scheduling perspective. Computers & Operations Research, 2021, 127: 105164. SCI.
Ji B.*, Zhang D., Yu S., et al. Optimally solving the generalized serial-lock scheduling problem from a graph-theory-based multi-commodity network perspective. European Journal of Operational Research, 2021, 288(1): 47–62. SCI.
Ji B.*, Zhang D., Yu S., et al. Mathematical Programming Models for Scheduling Multiple Cascaded Waterway Locks. Computers & Industrial Engineering, 2021. DOI: 10.1016/j.cie.2021.107289. SCI.
Ji B., Yuan X.*, Yuan Y., et al. An Adaptive Large Neighborhood Search for Solving Generalized Lock Scheduling Problem: Comparative Study With Exact Methods. IEEE Transactions on Intelligent Transportation Systems, 2019. DOI: 10.1109/TITS.2019.2926405. SCI.
Ji B., Yuan X.*, Yuan Y., et al. Exact and Heuristic Methods for Optimizing Lock-Quay System in Inland Waterway. European Journal of Operational Research, 2019, 277(2): 740–755. SCI.
Ji B., Sun H., Yuan X.*, et al. Coordinated optimized scheduling of locks and transshipment in inland waterway transportation using binary NSGA-II. International Transactions in Operational Research, 2019. DOI: 10.1111/itor.12720. SCI.
Ji B., Yuan X.*, Yuan Y. A Binary Borg-Based Heuristic Method for Solving a Multi-Objective Lock and Transshipment Co-Scheduling Problem. IEEE Transactions on Intelligent Transportation Systems, 2018. DOI: 10.1109/TITS.2018.2841022. SCI.
Ji B., Yuan X.*, Yuan Y. A hybrid intelligent approach for co-scheduling of cascaded locks with multiple chambers. IEEE Transactions on Cybernetics, 2018. DOI: 10.1109/TCYB.2018.2799303. SCI.
Ji B., Yuan X.*, Yuan Y. Modified NSGA-II for Solving Continuous Berth Allocation Problem: Using Multiobjective Constraint-Handling Strategy. IEEE Transactions on Cybernetics, 2017, 47(9): 2885–2895. SCI.
Ji B., Yuan X.*, Yuan Y. Orthogonal Design-Based NSGA-III for the Optimal Lockage Co-Scheduling Problem. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(8): 2085–2095. SCI.
Ji B., Yuan X.*, et al. Improved gravitational search algorithm for unit commitment considering uncertainty of wind power. Energy, 2014, 67: 52–62. SCI.
Ji B., Yuan X.*, Li X., et al. Application of quantum-inspired binary gravitational search algorithm for thermal unit commitment with wind power integration. Energy Conversion and Management, 2014, 87: 589–598. SCI.
Yuan X., Ji B., et al. Co-scheduling of lock and water–land transshipment for ships passing the dam. Applied Soft Computing, 2016, 45: 150–162. SCI.
Yuan Y., Ji B., Yuan X.*, et al. Lockage scheduling of Three Gorges-Gezhouba dams by hybrid of chaotic particle swarm optimization and heuristic-adjusted strategies. Applied Mathematics and Computation, 2015, 270: 74–89. SCI.
Yuan X., Ji B., Tian H., et al. Multiscaling analysis of monthly runoff series using improved MF-DFA approach. Water Resources Management, 2014, 28(12): 3891–3903. SCI.
Yuan X., Ji B., et al. An efficient chaos embedded hybrid approach for hydro-thermal unit commitment problem. Energy Conversion and Management, 2015, 91: 225–237. SCI.
Yuan X., Ji B., Zhang S., et al. An improved artificial physical optimization algorithm for dynamic dispatch of generators with valve-point effects and wind power. Energy Conversion and Management, 2014, 82: 92–105. SCI.
Yuan X., Ji B., Zhang S., et al. A new approach for unit commitment problem via binary gravitational search algorithm. Applied Soft Computing, 2014, 22: 249–260. SCI.
Yuan X., Ji B., Chen Z., et al. A novel approach for economic dispatch of hydrothermal system via gravitational search algorithm. Applied Mathematics and Computation, 2014, 247: 535–546. SCI.
Ji B.*, Zhou S. Q., Zhang Z. Branch-and-price method for solving the vehicle routing problem with two-dimensional loading constraints [J/OL]. Control Theory & Applications: 1–9 [2022-03-31]. http://kns.cnki.net/kcms/detail/44.1240.TP.20211018.1101.004.html. Core journal.
Zhang Z., Ji B.* Vehicle routing optimization for cross-docking distribution with stochastic travel time and two-dimensional loading constraints [J/OL]. Control and Decision: 1–9 [2022-03-31]. DOI: 10.13195/j.kzyjc.2021.1605. Core journal.
Zhou G., Ji B.*, Fang X. P. Research on the multi-to-multi cross-docking green vehicle routing problem and algorithm [J/OL]. Journal of Railway Science and Engineering: 1–9 [2022-03-31]. DOI: 10.19713/j.cnki.43-1423/u.T20211027. Core journal.
Huang H., Ji B.* Solving the berth allocation and quay crane assignment problem based on a multi-objective constraint-handling optimization method [J]. Control Theory & Applications, 2022, 39. http://kns.cnki.net/kcms/detail/44.1240.TP.20220429.1633.022.html. Core journal.
Wei Q., Ji B.* A multi-objective discrete combinatorial optimization algorithm integrating decomposition and adaptive neighborhoods. Journal of Frontiers of Computer Science and Technology, 2023: 1–18. Core journal.
China: Zhou S., Ji B.*, Zhang Z., et al. Branch-and-Price Approach for Two-Dimensional Loading Constrained Vehicle Routing Problem with Simultaneous Pickup and Delivery [M]//CICTP 2022. 1202–1212. EI.
Singapore: Ji B.*, Yu S., Su Z. A Multi-objective Constraint-handling based Approach for Short-term Hydro-thermal-wind Co-scheduling Problem. IECON 2020: The 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2020. DOI: 10.1109/IECON43393.2020.9255007. EI.
Singapore: Su Z.*, Li C., Ji B. Robust Integral Trajectory Tracking of the Controllable Aerial Towed Drogue. IECON 2020: The 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2020. DOI: 10.1109/IECON43393.2020.9254896. EI.
General Program of the National Natural Science Foundation of China: Theoretical and methodical investigation into optimal scheduling of ship-lock-port shipping resources on inland waterways, January 2024–December 2027, No. 72371250, Principal Investigator.
Young Scientists Fund of the National Natural Science Foundation of China: Theoretical and methodical investigation into optimal scheduling of ship-lock-port shipping resources on inland waterways, January 2021–December 2023, No. 72001216, Principal Investigator.
Hunan Provincial Natural Science Foundation for Outstanding Young Scholars: Theory and Methods for Collaborative Allocation of Port and Shipping Resources in Inland Container Hub-and-Spoke Shipping Networks, January 2024–December 2026, No. 2024JJ4073, Principal Investigator.
Huxiang Young Talents Program: Low-Carbon Network Layout and Collaborative Resource Optimization for Container Rail–Water Intermodal Transport, July 2024–July 2027, No. 2024RC3011, Principal Investigator.
The science and technology innovation Program of Hunan Province: Robust optimization for simultaneous pickup and delivery vehicle routing problem with two dimensional constraints and demand uncertainty, January 2020–December 2022, No. 2020JJ5780, Principal Investigator.
Special Fund for Distinguished Professors of Central South University: Theory and Methods for Flexible Job Shop Scheduling Optimization, July 2018–July 2023, Principal Investigator.
China Scholarship Council Project: Multi-objective Optimal Scheduling of the Three Gorges–Gezhouba Cascaded Water Conservancy Project, September 2016–September 2017, No. 201606160036, Principal Investigator.
General Program of the National Natural Science Foundation of China: Scheduling of Hybrid Lockage and Dam-Bypass Transportation at Cascaded Water Conservancy Projects Based on Distributed Rolling-Horizon Optimization, January 2014–December 2017, No. 51379080, Executive Project Leader.
Open Fund of Hubei Provincial Key Laboratory of Operation and Control of Cascaded Hydropower Stations: Short-term Multi-objective Optimal Scheduling of Hydro-Thermal-Wind Power Systems, January 2019–December 2020, No. 2018KJX02, Principal Investigator.
Chinese Academy of Engineering Local Cooperation Project: Research on the Development Strategy and Technological Innovation System for Integrated Major Transportation Corridors in Central China, November 2024–October 2025, 2024-DFZD-57, Subtask Leader.
Industry-funded Project: Architecture Design and Modeling of a Multi-Agent System for a Certain Commander Group, December 2022–December 2023, SHJD2022JB01, Principal Investigator.
Industry-funded Project: Research on Path Planning Methods for Land Mobility ×××, 2023–2025, Subtask Leader.
Industry-funded Project: Aviation Support Mission Planning for Nansha Islands and Reefs ×××, 2022–2024, Subtask Leader.
Industry-funded Project: Consulting Services for Safe Operation of the Changsha Transportation System, 2023–2024, Subtask Leader.
Industry-funded Project: Research on Medium- and Long-term Multi-objective Optimal Scheduling and Multi-attribute Decision-Making for Watershed Hydropower under the New Situation, 2024, Principal Investigator.
Reviewer for several internationally recognized journals, including European Journal of Operational Research (EJOR), Transportation Research Part E (TRE), Transportation Research Part C (TRC), Computers & Operations Research (COR), and IEEE Transactions on Intelligent Transportation Systems (IEEE TITS).
External reviewer for the National Natural Science Foundation of China.
Operations Research;
Introduction to Mathematical Modelling and Optimization.
