姓    名：贺利军

性    别：男

出生年月：1989年3月

职称/职务：副研究员

学位/学历：博士

联系方式：helj@whut.edu.cn

    教育经历：

2008/09–2012/06，南京工程学院，机械电子工程，工学学士

2013/09–2016/06，福州大学，机械设计及理论，工学硕士

2019/10–2020/10，澳大利亚纽卡斯尔大学，机械工程，公派联合培养博士

2017/09–2022/06，武汉理工大学，机械工程，工学博士

    工作经历：

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

2022/07–至今，   武汉理工大学，bwin必赢，副研究员

主要研究方向：

多目标优化、进化计算、绿色车间生产调度、自动化港口作业调度、生产-物流协同调度、动态调度等

科研成果

(1)学术论文（*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检索，IF 19.118，国际T1区，领域Top)

      2. 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检索，IF 11.718，国际T1区，领域Top)

      3. Lijun He, Raymond Chiong, Wenfeng Li*, et al. 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检索，ESI高被引论文，IF 11.648，国际T1区，领域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检索，IF 10.267，国际T1区，领域Top)

      5. 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检索，IF 8.263，国际T1区，领域Top)

      6. Lijun He, Yulian Cao, Wenfeng Li*, Jingjing Cao, Lingchong Zhong. Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential algorithm [J]. Applied Soft Computing, 2022, 118: 108459. (SCI 检索，IF 8.263，国际T1区，领域Top)

      7. Lijun He, Raymond Chiong, Wenfeng Li*, Gregorius Satia Budhi, Yu Zhang. A multi-objective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles [J]. Knowledge-Based Systems, 2022: 108315. (SCI检索，IF 8.139，国际T1区，领域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检索，IF 7.802，国际T1区，领域Top)

      9. Yu Zhang, Hongwei Tian, Lijun He*, et al. A two-phase stowage approach for passenger-cargo RoRo ship based on 2D-KP: coping with complex rotation and safe navigation constrains [J]. IEEE Access, 2020, 8(1): 95807-95822. (SCI检索，IF 3.367，国际T2区)

     10. Lijun He, Wenfeng Li*, Yu Zhang, Jingjing Cao. Review of swarm intelligence algorithms for multi-objective flowshop scheduling [C]. The 11th International Conference on Internet and Distributed Computing System (IDCS 2018), Tokyo, Japan, Oct. 10-13, 2018: 258-269. (EI检索)

     11. GuangyuZhu*,LijunHe, 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检索，IF 5.334，国际T1区，领域Top)

     12. Wenjie Xu, Lijun He, Guangyu Zhu*. Many-objective flow shop scheduling optimization with genetic algorithm based on fuzzy sets [J].International Journal of Production Research, 2019, 59(3):702-726. (SCI检索，IF 8.568，国际T1区)

     13. 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检索，IF 8.568，国际T1区)

     14. Wenchao Yang, Wenfeng Li*, Yulian Cao, Yun Luo, Lijun He. Real-time production and logistics self-adaption scheduling based on information entropy theory [J]. Sensors. 20(16), Aug. 2020: https://doi.org/10.3390/s20164507. (SCI检索，IF 3.576，国际T3区)

     15.Wenchao Yang, Wenfeng Li*, Yulian Cao, Yun Luo, Lijun He. An information theory inspired real-time self-adaptive scheduling for production-logistics resources: framework, principle, and implementation [J]. Sensors. 20(24), Dec. 2020:https://doi.org/10.3390/s20247007. (SCI检索，IF 3.576，国际T3区)

     16. Lingchong Zhong, Wenfeng Li*, Bin Qian, Lijun He. Improved discrete cuckoo-search algorithm for mixed no-idle permutation flow shop scheduling with consideration of energy consumption [J]. IET Collaborative Intelligent Manufacturing, 2021, 3(4): 345-355. (EI检索)

     17. 贺利军,李文锋*,张煜.基于灰色综合关联分析的多目标优化方法[J].控制与决策, 2020, 35(5): 1134-1142. (EI检索)

     18. 贺利军,刘超,朱光宇*.基于模糊关联熵的高维多目标流水车间调度优化[J].计算机集成制造系统, 2015, 21(10): 2704-2710. (EI检索)

     19. 钟祾充,李文锋*,贺利军,张煜,周勇.集装箱码头混合零空闲柔性流水作业调度优化[J].计算机集成制造系统, 2021. (EI检索)

     20. 范媛,李文锋*,贺利军.基于改进遗传算法的智能仓储多移动机器人协同调度[J].武汉理工大学学报(信息与管理工程版), 2019, 41(3): 293-311. (中文核心)

     21. 张煜*,熊得鹏,马少康,贺利军,李斌.在线环境下客货滚装船多目标动态配载决策[J].武汉理工大学学报(交通科学与工程版), 2021, online. (中文核心)

(2)教材专著

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.

六、参与/主持的科研项目

    1. 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（批准号：2019YFB 1600400），507万，参与

    2. 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（批准号：61571336），60万，参与

    3. 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（批准号：2019-YB-033），3万，主持

    4. 国家留学基金委公派联合培养博士项目：Multi-objective double flexible job-shop scheduling with sequence-dependent setup times，10万，主持

    5. 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（批准号：62173263），58万，参与

    6. 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（批准号：71874132），48万，参与

    7. 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（批准号：72174160），48万，参与

    8. 武汉某企业横向项目：机器人装配智能车间规划，20万，参与

    学术兼职：

中国人工智能学会智能制造专业委员会会员

IEEE Transactions on Cybernetics、Engineering Applications of Artificial Intelligence、Applied Soft Computing等多个国际SCI期刊审稿人