姓    名：贺利军

性    别：男

出生年月：1989年3月

党    派：中国民主促进会

职称/职务：副研究员/硕导

学位/学历：博士

联系方式：helj@whut.edu.cn

教育经历

2017/09–2022/06，必赢565net官网/澳大利亚纽卡斯尔大学，机械工程，国家公派联合培养博士

2013/09–2016/06，福州大学，机械设计及理论，工学硕士

2008/09–2012/06，南京工程学院，机械电子工程，工学学士

工作经历

2022/07–至今，必赢565net官网，565net必赢客户端，副研究员

2016/07–2017/07，东华理工大学长江学院，机械电子工程系，机械工程专任教师

主要研究兴趣

智慧港航调控优化、多式联运、制造调度优化、物流建模与仿真、智能优化、大模型等

学术论文发表（*代表通讯作者）

【1】Wenfeng Li, Lijun He^*, Yulian Cao. Many-objective evolutionary algorithm with reference point-based fuzzy correlation entropy for energy-efficient job shop scheduling with limited workers [J]. IEEE Transactions on Cybernetics, 2022, 52(10): 10721-10734. (SCI，中科院一区Top)

【2】Lijun He, Raymond Chiong, Wenfeng Li^*, et al. A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles [J]. Knowledge-Based Systems, 2022, 243: 108315. (SCI，中科院一区Top)

【3】Lijun He, Raymond Chiong, Wenfeng Li^*. Energy-efficient open shop scheduling with automated guided vehicles and deteriorating jobs [J]. Journal of Industrial Information Integration, 2022, 30: 100387. (SCI，中科院一区Top)

【4】Lijun He, Wenfeng Li^*, Yu Zhang, et al. A discrete multi-objective fireworks algorithm for flowshop scheduling with sequence-dependent setup times [J]. Swarm and Evolutionary Computation, 2019, 51: 100575. (SCI，中科院一区Top)

【5】Lijun He, Raymond Chiong, Wenfeng Li^*. Multiobjective optimization of energy-efficient job-shop scheduling with dynamic reference point-based fuzzy relative entropy [J]. IEEE Transactions on Industrial Informatics, 2022, 18(1): 600-610. (SCI，中科院一区Top，ESI高被引)

【6】Lijun He, Wenfeng Li^*, Raymond Chiong, et al. Optimising the job-shop scheduling problem using a multi-objective Jaya algorithm [J]. Applied Soft Computing, 2021, 111: 107654. (SCI，中科院一区Top)

【7】Lijun He, Yulian Cao, Wenfeng Li^*, et al. Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential algorithm [J]. Applied Soft Computing, 2022, 118: 108459. (SCI，中科院一区Top)

【8】Qianqian Zheng, Yu Zhang, Hongwei Tian, Lijun He^*. An effective hybrid meta-heuristic for flexible flow shop scheduling with limited buffers and step-deteriorating jobs [J]. Engineering Applications of Artificial Intelligence, 2021, 106: 104503. (SCI，中科院二区Top)

【9】Qianqian Zheng, Yu Zhang, Hongwei Tian, Lijun He^*. A cooperative adaptive genetic algorithm for reentrant hybrid flow shop scheduling with sequence-dependent setup time and limited buffers [J]. Complex & Intelligent Systems, 2024, 10: 781-809. (SCI，中科院二区)

【10】Guangyu Zhu, Lijun He, Xuewei Ju, et al. A fitness assignment strategy based on the grey and entropy parallel analysis and its application to MOEA [J]. European Journal of Operational Research, 2018, 265: 813-828. (SCI，中科院二区Top)

【11】Cong Gao, Wenfeng Li, Lijun He, et al. A distance and cosine similarity-based fitness evaluation mechanism for large-scale many-objective optimization [J]. Engineering Applications of Artificial Intelligence, 2024, 133(B): 108127. (SCI，中科院二区Top)

【12】Lei Cai, Wenfeng Li^*, Yun Luo, Lijun He. Real-time scheduling simulation optimization of job shop in a production-logistics collaborative environment [J]. International Journal of Production Research, 2022, online. (SCI，中科院二区Top)

【13】Meng Yu, Xinyu Liu, Zhenli Xu, Lijun He^*, et al. Automated rail-water intermodal transport container terminal handling equipment cooperative scheduling based on bidirectional hybrid flow-shop scheduling problem [J]. Computers & Industrial Engineering, 2023, 186, 109696. (SCI，中科院一区Top)

【14】L Zhong, W Li*, K Gao, L He, Y Zhou. An Improved NSGAII for Integrated Container Scheduling Problems With Two Transshipment Routes [J]. IEEE Transactions on Intelligent Transportation Systems, 2024, online. (SCI，中科院一区Top)

【15】WJ Xu, LJ He, GY Zhu*. Many-objective flow shop scheduling optimisation with genetic algorithm based on fuzzy sets [J]. International Journal of Production Research, 2021, 59(3):702-726. (SCI，中科院二区Top)

【16】Y Zhang, QQ Zheng, LJ He, HW Tian*. Ship traffic optimization method for solving the approach channel and lock co-scheduling problem of the Three Gorges Dam on the Yangzi River [J]. Ocean Engineering, 2023, 276, 114196. (SCI, 中科院一区)

【17】QQ Zheng, Y Zhang, LJ He, HW Tian*. Discrete multi-objective artificial bee colony algorithm for green co-scheduling problem of ship lift and ship lock [J]. Advanced Engineering Informatics, 2023, 55, 101897. (SCI, 中科院一区Top)

【18】L Cai, W Guo, L He, W Li*. Port integrated scheduling under uncertain operation time and cascade effects: A complex network structure entropy solution [J]. Computers & Industrial Engineering, 2024, 182, 109435. (SCI, 中科院一区Top)

【19】L Zhong, W Li*, B Qian, L He. Improved discrete cuckoo‐search algorithm for mixed no‐idle permutation flow shop scheduling with consideration of energy consumption [J]. IET Collaborative Intelligent Manufacturing, 3 (4), 345-355. (ESCI)

【20】QQ Zheng, Y Zhang, WJ Guo, HW Tian, LJ He*. Solving energy-efficient lock group co-scheduling problem with ship lift and approach channel using a collaborative adaptive multi-objective algorithm [J]. Expert Systems with Applications, 2024, 242, 122712. (SCI, 中科院一区Top)

【21】L Zhong, L He*, Y Li, Y Zhang, Y Zhou, W Li. Enhanced Multi-Objective Evolutionary Algorithm for Green Scheduling of Heterogeneous Quay Cranes Considering Cooperative Movement and Safety [J]. Journal of Marine Science and Engineering, 2023, 11 (10), 1884. (SCI, 中科院二区)

【22】H Tian, Q Zheng, Y Zhang, L He*, S Liu, R Li. Ship Chain Navigation Co-Scheduling of Three Gorges-Gezhouba Dam under Serial-Lock Scenario [J]. Journal of Marine Science and Engineering, 2024, 12 (10), 1700. (SCI, 中科院二区)

【23】K Tang, Y Zhang, C Yang, L He*, C Zhang, W Zhou. Optimization for multi-resource integrated scheduling in the automated container terminal with a parallel layout considering energy-saving [J]. Advanced Engineering Informatics, 2024, 62, 102660. (SCI, 中科院一区Top)

【24】W Zhou, Y Zhang, K Tang, L He*, C Zhang, Y Tian. Co-optimization of the operation and energy for AGVs considering battery-swapping in automated container terminals [J]. Computers & Industrial Engineering, 2024, 195, 110445. (SCI, 中科院一区Top)

【25】W Li, L Cai*, L He, W Guo. Scheduling techniques for addressing uncertainties in container ports: a systematic literature review [J]. Applied Soft Computing, 2024, 111820. (SCI, 中科院一区Top)

【26】L Cai, W Li*, H Li, B Zhou, L He, W Guo, Z Yang. Incorporation of energy-consumption optimization into multi-objective and robust port multi-equipment integrated scheduling [J]. Transportation Research Part C: Emerging Technologies, 2024, 166, 104755. (SCI, 中科院一区Top)

【27】W Li, S Du*, L Zhong, L He. Multiobjective Scheduling for Cooperative Operation of Multiple Gantry Cranes in Railway Area of Container Terminal [J]. IEEE Access, 2023, 10, 46772-46781. (SCI)

【28】Qianqian Zheng, Hua Xuan*, Yu Zhang, Bing Li, Lijun He, Tao Li. Q-Learning based Multi-Objective Heuristic Algorithm for Solving Multi-Resource Co-Scheduling Problem of Ship-Lock-Channel Considering Water Discharge [J]. IEEE Transactions on Intelligent Transportation Systems, 2025, Accept. (SCI, 中科院一区Top)

【29】Caiyun Yang, Yu Zhang, Junjie Wang, Lijun He*, Han Wu. A deep reinforcement learning based multi-agent simulation optimization approach for IGV bidirectional task allocation and charging joint scheduling in automated container terminals [J]. Computers & Operations Research, 2025, 183, 107189. (SCI, 中科院二区Top)

【30】Meng Yu, Xiabing Zhang, Dehan Zhang, Lijun He*. Collaborative scheduling of coal terminal loading-unloading based on hybrid flowshop model considering two-stage zero-waiting and task release time [J]. International Journal of Shipping and Transport Logistics, 2025, Accept. (SCI)

主要专利 

【1】一种集装箱港口设备调控方法、装置、电子设备及介质,2024-02-04,中国,2024101585798

【2】一种港口智能水平运输车辆的纵横向控制方法与系统,2025-04-01,中国, ZL202311614271.1.

【3】一种码头多装备集成鲁棒调度方法及装置, 2023-05-06, 中国, 202310669547X.

【4】基于多种群遗传算法的汛期锚地-码头航道船舶调度优化方法及系统，2025-01-07，中国,2024115064071.

【5】一种基于航道-船闸协调的汛期船舶调度优化方法及系统,2025-01-07，中国, 2024115064067.

主持/参与的科研项目

【1】国家自然科学基金委员会青年项目：多移动资源柔性协同的船舶管件车间分布式多区生产多目标调度，62403367，2025年-01-01至2027-12-31, 30万元, 主持

【2】湖北省技术创新计划项目（重点研发）：空铁公多式联运AI智能集疏运装备研发与花湖机场数字货运枢纽集成技术研究，2026年-01-01至2027-12-31, 100万元,子课题主持

【3】必赢565net官网自主创新研究基金项目：不确定环境下生产与物流协同的多目标动态调度，2023年-01-01至2024-12-31, 5万元，主持

【4】必赢565net官网自主创新研究基金项目：多移动资源协同下数据和模型混合驱动的多目标动态生产调度，2025年-01-01至2026-12-31, 5万元，主持

【5】研究生自主创新研究基金(优秀博士论文培育项目) ：融合群智能和机器学习的多目标柔性作业车间调度，3万，主持

【6】湖北省重点研发专项：数据驱动的港口全流程运营分析与智能管控技术，2023-03-12至 2025-12-31，100万元, 参与

【7】国家科技部重点研发计划“综合交通运输与智能交通”：多式联运智能集成技术与装备开发，2019YFB 1600400，507万，参与

【8】国家自然科学基金面上项目：基于移动智能体调度的混杂工业无线传感器网络抗毁性研究，61571336，60万，参与

【9】国家自然科学基金面上项目：多式联运港口的移动装备分布柔性生产智能多目标调度研究，62173263，2022-01-01至2025-12-31，58万，参与

【10】国家自然科学基金面上项目：三峡枢纽航运突发事件船舶交通应急调控方法研究， 71874132，2019-01-01 至 2022-12-31，48万，参与

【11】国家自然科学基金面上项目：自动化集装箱港口自愈容错应急调控方法研究，72174160，2022-01-01至2025-12-31，48万，参与

【12】武汉某企业横向项目：机器人装配智能车间规划，20万，参与

【13】企业横向：北斗+5G船厂物流工程车辆智能管控系统研发，1000万，参与

主要获奖

【1】多式联运背景下智慧港航物流运输系统韧性优化研究. 2024年度中国物流与采购联合会科学技术奖二等奖，排名第1

【2】内河航运主通道“船-闸-港”多尺度协同优化及其韧性物流. 2025年度中国物流与采购联合会科学技术奖二等奖，排名第1

【3】Multi-objective optimization of energy-efficient job-shop scheduling with dynamic reference point-based fuzzy relative entropy. 湖北省科协优秀科技论文奖(2021-2023) ，排名第1

【4】具有港口物流特色的浸入式教学系统关键技术及应用. 2024年度中国物流与采购联合会科学技术奖二等奖，排名第5

【5】长江经济带多式联运发展与关键技术研究. 2023年度中国港口协会科学进步奖二等奖， 排名第7

【6】U型集装箱自动化码头智能构建技术及其工程应用. 2024年度中国航海学会科学技术奖二等奖，排名第9

教学/学生指导

1.本科生课程:1）物流智能决策与算法基础、2）智慧物流与智能系统、3）智慧物流技术、4）智慧港口概论

2.研究生课程:人工智能与博弈论

3.连续指导本科生获第八、九届全国大学生物流设计大赛决赛一等奖

4.编著本科生教材两本：

• 李文锋(主编),贺利军(副主编).智慧物流.华中科技大学出版社, 2022,9.

• 李文锋(主编)，张煜(主编)，郭文静(副主编)，贺利军(副主编)，鄂晓征(副主编).物流系统建模与仿真.科学出版社，北京，2024.

学术兼职

1.中国物流系统工程学会专委会委员

2.中国智能物联系统专委会委员

3.中国人工智能学会智能制造专业委员会会员

4. IEEE SMC 会员

5.知名期刊审稿：IEEE Transactions on Cybernetics、IEEE SMC、Engineering Applications of Artificial Intelligence、Applied Soft Computing、Journal of Industrial Information Integration、IEEE Transactions on Industrial Informatics、European Journal of Operational Research、Expert Systems with Applications、Advanced Engineering Informatics、Computers & Industrial Engineering、IEEE Transactions on Intelligent Transportation Systems、Computers & Operations Research、Transportation Research Part E: Logistics and Transportation Review等

欢迎对港口物流、制造物流及多式联运感兴趣的同学咨询报考研究生，特别欢迎对深度强化学习、大模型等人工智能技术有兴趣的同学加入研究团队，有意者请发送简历至邮箱咨询名额。