职称：副教授 硕士生导师
电子邮箱：
所在单位：高端装备机械传动全国重点实验室
学历：研究生(博士)毕业
办公地点：7教-214
在职信息：在职
易进，工学博士，湖北浠水人，重庆大学机械与运载工程学院副教授，重庆大学高端装备机械传动全国重点实验室固定研究人员，入选“创新嘉兴·精英引领计划”人才。2017年博士毕业于华中科技大学机械科学与工程学院，2017年-2020 年在新加坡国立大学担任博士后研究员（合作导师为美国工程院院士Prof.Christine A. Shoemaker），2020 年7月入职重庆大学。主持国家重大专项项目课题1项，国家自然科学基金青年基金项目1项，重庆市留学人员回国创业创新支持计划2项，华中科技大学智能制造装备与技术全国重点实验室开放课题1项（已结题）、浙江大学流体动力与机电系统全国重点实验室开放课题1项（在研），高端装备机械传动全国重点实验室自主课题1项（在研）等10多项科研项目。
研究方向为复杂装备智能设计优化、低空经济装备研发与低空物流优化、具身智能机器人。在《IEEETransactions on Industrial Informatics》、《AdvancedEngineering Informatics》、《IEEE Transactions on Transportation Electrification》、《Applied Soft Computing》、《Structural and Multidisciplinary Optimization》等国际知名期刊上发表论文50篇（其中一作/通讯SCI论文22篇，2篇入选ESI高被引，谷歌学术总引用1106，h-index为15）。研究成果获2024年中国自动化学会科技进步特等奖，2022 年中国自动化学会科技进步一等奖，2021年重庆市科技进步一等奖，申请/授权发明利22项。
学术兼任包括担任现为中国机械工程学会会员，中国自动化学会会员，中国人工智能学会会员，担任期刊《复杂系统建模与仿真》(英文版)青年编委及多个SCI期刊客座编辑。
开设课程：
（1）本科生课程 “人工智能基础”、“电液伺服控制”
（2）硕士生课程 “电液伺服控制”
人才培养情况：
（1）硕士生：所指导的学生获得第十七届国际先进机器人及仿真技术大赛“群智杯”集群智能算法挑战赛全国总决赛冠军，“跨越险阻2023”第五届陆上无人系统挑战赛D4组季军，团队硕士生毕业去向包括中国兵器207研究所、铁马集团、赛力斯、比亚迪等行业头部企业。
（2）本科生：所指导的本科生获“挑战杯”创业计划竞赛重庆市金奖，获批国家（市）级大学生创新创业训练计划项目、大学生科研训练计划等。欢迎学有余力的本科同学提前进组，参与相关研究。
科研项目
国家自然科学基金委， 国家自然科学基金青年项目，2022-01至2024-12，在研，主持；
中国博士后科学基金委员会，中国博士后科学基金面上项目，2021-01至2023-01，在研，主持；
重庆市人社局，重庆市留学人员回国创业创新支持计划，在研，主持；
数字制造装备与技术国家重点实验室，数字制造装备与技术国家重点实验室开放课题，2018-01至2019-12，已结题，主持；
高端装备机械传动全国重点实验室，高端装备机械传动全国重点实验室自主课题(重点项目)，2024-01至2025-12，在研，主持；
科技部, 国家重点研发计划项目, 机器人的刚柔软结构耦合与变刚度技术, 2021-01 至 2023-12, 在研, 参与；
国家自然科学基金委， 国家自然科学基金面上项目，2022-01至2025-12，在研，参与。
学术兼职
• 期刊审稿人: IEEE Transactions on System, Man and Cybernetics: System, Information sciences, Applied SoftComputing, Computers & Industrial Engineering, Swarm and Evolutionary Computation, and IEEE Transactions on Emerging Topics in Computational Intelligence
• 客座编辑：Special Issue on Optimization methods in Intelligent Manufacturing at Mathematical Biosciences and Engineering
• 客座编辑：Special Issue on Intelligent Optimisation Methods for Scheduling Problems at International Journal of Automation and Control
获奖情况
2024中国自动化学会科技进步特等奖
2022中国自动化学会科技进步一等奖
2021年度重庆市科技进步一等奖
部分代表性论文
【期刊论文】（*代表通讯作者） [1] J. Yi, C.-L. Kuo, K.-W. Tien, C.-H. Chu, Optimal tool path planning in five-axis flank milling for cylindrical cutters using surrogate models and multi-level space reduction techniques, Advances in Engineering Software 201 (2025) 103854. [2]J. Yi, Y. Shen, C. A. Shoemaker, A multi-fidelity RBF surrogate-based optimization framework for computa- tionally expensive multi-modal problems with application to capacity planning of manufacturing systems, Structural and Multidisciplinary Optimization 62 (4) (2020) 1787–1807. [3] J. Yi, X. Li, C.-H. Chu, L. Gao, Parallel chaotic local search enhanced harmony search algorithm for engineering design optimization, Journal of Intelligent Manufacturing 30 (2019) 405–428. [4] J. Yi, L. Gao, X. Li, C. A. Shoemaker, C. Lu, An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization, Knowledge-based systems 170 (2019) 1–19. [5] J. Yi, C.-H. Chu, C.-L. Kuo, X. Li, L. Gao, Optimized tool path planning for five-axis flank milling of ruled surfaces using geometric decomposition strategy and multi-population harmony search algorithm, Applied Soft Computing 73 (2018) 547–561. [6] J. Yi, X. Li, M. Xiao, J. Xu, L. Zhang, Construction of nested maximin designs based on successive local enumeration and modified novel global harmony search algorithm, Engineering Optimization 49 (1) (2017)161–180. [7] J. Yi, L.Gao, X. Li, J. Gao, An efficient modified harmony search algorithm with intersect mutation operator and cellular local search for continuous function optimization problems, Applied Intelligence 44(2016) 725–753. [8] J. Zhou, J. Yi*, Z. Yang, H. Pu, X. Li, J. Luo, L. Gao, A survey on vehicle–drone cooperative delivery operations optimization: Models, methods, and future research directions, Swarm and Evolutionary Computation 92 (2025) 101780. [9] L. You, S. Xing, J. Yi*, S. Yuan, J. Yang, H. Pu, J. Luo, A harmonic domain regressor with dynamic task weighting strategy for multi-fidelity surrogate modeling in engineering design, Advanced Engineering Informatics 64 (2025) 102999. [10] W. Ding, M. Qian, C. Lu, J. Yi*, H. Pu, J. Luo, Differential evolution with joint adaptation of mutation strategies and control parameters via distributed proximal policy optimization, Tsinghua Science and Technology (2024). doi:10.26599/TST.2024.9010185 [11] H. Cheng, J. Yi*, W. Xia, H. Pu, J. Luo, Adaptive memetic algorithm with dual-level local search for cooperative route planning of multi-robot surveillance systems, Complex System Modeling and Simulation 4 (2) (2024) 210–221. [12] H. Pu, B. Tan, J. Yi*, S. Yuan, J. Zhao, R. Bai, J. Luo, A novel key performance analysis method for permanent magnet coupler using physics-informed neural networks, Engineering with Computers (2023)1–19. [13] R. Bai, G. Liang, H. Cheng, H. Naceur, D. Coutellier, J. Zhao, J. Luo, H. Pu, J. Yi*, Optimizing additive manufacturing path pattern for ti-6al-4v thin rods using a combinatorial radial basis function surrogate-assisted genetic algorithm, Materials & Design 236 (2023) 112447. [14] H. Pu, H. Cheng, G. Wang, J. Ma, J. Zhao, R. Bai, J. Luo, J. Yi*, Dexterous workspace optimization for a six degree-of-freedom parallel manipulator based on surrogate-assisted constrained differential evolution, Applied Soft Computing 139 (2023) 110228. [15] H. Pu, Z. Bai, Y. Xin, J. Zhao, R. Bai, J. Luo, J. Yi*, Efficient (2n+1) selective harmonic elimination in modular multilevel converters using an evolutionary many-tasking approach with prior knowledge, Applied Soft Computing 144 (2023) 110468. [16] J. Yang, Q. Li, C. Deng, X. Qi, C. Ye, J. Yi*, S. Huang, Investigation on the method for reducing the time constant of exciting winding of homopolar inductor machine, IEEE Transactions on Transportation Electrification 9 (2) (2023) 3255-3267. [17] W. Zeng, J. Yi*, R. Lin, W. Lu, Statistical tolerance–cost–service life optimization of blade bearing of con- trollable pitch propeller considering the marine environment conditions through meta-heuristic algorithm, Journal of Computational Design and Engineering 9 (2) (2022) 689–705. [18] C. Lu, B. Zhang, L. Gao, J. Yi*, J. Mou, A knowledge-based multiobjective memetic algorithm for green job shop scheduling with variable machining speeds, IEEE Systems Journal 16 (1) (2021) 844–855. [19] C. Lu, L. Gao, J. Yi*, X. Li, Energy-efficient scheduling of distributed flowshop with heterogeneous factories: A real-world case from automobile industry in china, IEEE Transactions on Industrial Informatics 17 (10) (2020) 6687–6696. [20] W. Zeng, J. Yi*, X. Rao, Y. Zheng, A two-stage path planning approach for multiple car-like robots based on ph curves and a modified harmony search algorithm, Engineering Optimization 49 (11) (2017) 1995–2012.
【会议论文】（*代表通讯作者） [1] J. Yi, X. Li, L. Gao, Y. Chen, Optimal design of photovoltaic-wind hybrid renewable energy system using a discrete geometric selective harmony search, in: 2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD), IEEE, 2015, pp. 499–504. [2] B.Tan, J. Yi*, Y. Qin, H. Pu, J. Luo, Design optimization of permanent magnet coupler based on physics-informed neural networks, in:ICMD:International Conference on Mechanical Design, Springer Nature Singapore Singapore, 2023, pp. 657–670. [3] J. Zhao, X. Yang, G. Liang, Z. Wu, Y. Wu, J. Yi, S. Yuan, X. Li, R. Bai, C. Zhang, et al., Multi-objective topology optimization of electromagnetic negative stiffness mechanism using a deep neural network based parametric level set method, in: 2023 International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, 2023, pp. 499–504. [4] S. Xing, Z. Wu, H. Naceur, S. Yan, G. Liang, J. Zhao, J. Yi, X. Li, S. Yuan, H. Pu, et al., Improved evolu- tionary structural optimization for taylor bar impact problem based on additive manufacturing technique,in:2023 International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, 2023, pp. 464–468. [5] J. Wang, Y. Pi, D. Xiao, L. Xu, J. Yi, G. Wang, H. Pu, J. Luo, Collaborative coverage strategy for multiple uavs considering coverage utility, in: 2023 International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, 2023, pp. 155–160. [6] Q. Li, L. Ke, H. Pu, J. Yi, J. Ma, R. Bai, J. Zhao, S. Wang, J. Luo, T. Zhu, An improved vibration controller for precision manufacture based on youla parametrization and fuzzy logic, in:2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, 2021, pp. 868–873. [7] Q. Li, T. Wang, H. Pu, J. Yi, J. Ma, R. Bai, J. Zhao, S. Wang, J. Luo, T. Zhu, A novel tunable elec-tromagnetic gravity compensator with low natural frequency for precision assembly, in:2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, 2021, pp. 25–30. [8] H. Pu, H. Cheng, J. Ma, J. Yi, J. Zhao, Z. Xie, S. Wang, T. Zhu, J. Luo, Optimal design of 6-dof parallel manipulator with workspace maximization using a constrained differential evolution, in:2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, 2021, pp. 31–36. [9] J. Wu, J. Yi*, L.Gao, X. Li, Cooperative path planning of multiple uavs based on ph curves and harmony search algorithm, in: 2017 IEEE 21St international conference on computer supported cooperative work in design (CSCWD), IEEE, 2017 pp. 540–544. [10] T. Li, P. Li, W. Li, L. Gao, J. Yi, Y. Bai, Cuckoo search-based range image registration for free-form surface inspection, in:2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD), IEEE, 2015, pp. 505–510.
|
近期动态
2025.3.29，祝贺丁文杰、寿涵海同学在第十七届国际先进机器人及仿真技术大赛“群智杯”集群智能算法挑战赛全国总决赛中获得冠军。
2023.11.08， 论文“Optimizing additive manufacturing path pattern for Ti-6Al-4V thin rods using a combinatorial radial basis function surrogate-assisted genetic algorithm”被SCI期刊《Materials&Design》录用。
2023.11.03，祝贺博士生程浩，硕士生周晶在“跨越险阻2023”第五届陆上无人系统挑战赛D4组比赛中获得第三名。
2023.10.04，论文“A Novel Key Performance Analysis Method for Permanent Magnet Coupler Using Physics-Informed Neural Networks”被SCI期刊《Engineering with Computers》录用。
