孙靖：教授，硕士生导师

邮箱：sunj@jou.edu.cn,jing8880@sina.com

研究方向：智能优化算法及应用

个人履历

孙靖，1975年10月生，江苏沭阳人，博士，教授，硕士生导师，2012年博士毕业于中国矿业大学，现任565net必赢副院长，兼任中国仿真学会智能仿真优化与调度专委会委员、江苏省自动化学会智能优化理论及应用专委会委员。主要承担《数值计算方法》、《最优化算法》等专业课程的教学任务，指导国家级大创项目2项。先后主持国家自然科学基金项目2项，参加国家自然科学基金3项，出版专著、教材2部，在TEVC、TCYB等高水平学术期刊上发表学术论文近30篇，其中ESI高被引论文2篇。入选江苏省“青蓝工程”优秀中青年学术带头人、市“521工程”第二层次人才、连云港市首席专家、新版必赢网站三育人先进个人。获得江苏省科学技术二等奖1项、江苏省优秀本科毕业论文三等奖指导教师1项、新版必赢网站高等教育教学成果奖一等奖1项。

承担项目

1.进化优化与机器学习共融的水下移动无线传感器网络结构优化，国家自然科学基金，61873105，2019-2022，主持。

2. Memetic区间参数多目标进化优化及其在太阳能海水淡化中的应用,国家自然科学基金，61403155，2015-2018，主持。

3.江苏省高校“青蓝工程”中青年学术带头人, 2019，主持。

学术及科研成果

论文及专著

1. Sun J., Miao Z., Gong D. W., Zeng X. J., Li J. Q., Wang G. G., Interval Multi-objective optimization with memetic algorithms, IEEE Transactions on Cybernetics, 2019, 50(8): 3444-3457.

2. Sun J., Gong D. W., Zeng X. J., Geng N., An Ensemble Framework for Assessing Solutions of Interval Programming Problems, Information Sciences, 2018, 436-437: 146-161.

3. 孙靖，巩敦卫，进化高维多目标优化研究进展，控制理论与应用，2018,35(7): 928-938.

4. 孙靖，熊岩，张恒，刘志平，多期证券组合问题的区间多目标规划求解方法，控制与决策，2020, 35(3): 645-650.

5. Sun J., Sun F. L., Gong D. W., Zeng X. J., A mutation operator guided by preferred regions for set-based many-objective evolutionary optimization，Complex & Intelligent System, 2017, 3:265-278.

6. 孙靖,耿娜，张功杰，微粒群优化求解的机器人救援任务分配，嘉应学院学报(自然科学), 2017, 35(11):18-25.

7. Sun J., Gong D. W., Solving interval multi-objective optimization problems using evolutionary algorithms with lower limit of possibility degree, Chinese Journal of Electronics, 2013, 22(2): 269-272.

8. 孙靖,巩敦卫,季新芳,基于偏好方向的区间多目标交互进化算法,控制与决策, 2013, 28(4): 542-546.

9. Kuang Y., Sun J., Gan X., Gong D., Liu Z., Zha M., Dynamic multi-objective cooperative coevolutionary scheduling for mobile underwater wireless sensor networks, Computers & Industrial Engineering, 2021, 156: 107229.

10. Gong D. W., Sun J., Miao Z., A set-based genetic algorithm for interval many-objective optimization problems, IEEE Transactions on Evolutionary Computation, 2018, 22(1): 47-60.

11. Gong D. W., Sun J., Ji X. F., Evolutionary algorithms with preference polyhedron for interval multi-objective optimization problems, Information Sciences, 2013, 233: 141-161.

12. 巩敦卫,孙靖,区间多目标进化优化理论与应用,科学出版社, 38.0万字, 2013,6.

13. Liu Y. P., Gong D. W., Sun J., Jin Y. C., IEEE Transactions on Cybernetics, A many-objective evolutionary algorithm using a one-by-one selection strategy, 2017, 47(9): 2689-2702.

14. Gong D. W., Sun F. L., Sun J., Sun X. Y.,Set-based many-objective optimization guided by a preferred region, Neurocomputing, 2017, 228:241-255.

15. Gong D. W., Ji X. F., Sun J., Sun X. Y., Interactive evolutionary algorithms with decision-maker's preferences for solving interval multi-objective optimization problems, NeuroComputing, 2014, 137: 241-251.

16. Gong D. W., Liu Y. P., Ji X. F., Sun J., Evolutionary algorithms with user’s preferences for solving hybrid interval multi-objective optimization problems, Applied Intelligence, 2015, 43(3): 676-694.

17. Gong D. W., Chen J., Sun X. Y., Sun J., Evaluating individuals in interactive genetic algorithms using variational granularity, Soft Computing, 2015, 19(3): 621-635.

18. Zhang H., Qi Y., Zhou H., Zhang J., Sun J., Testing and defending methods against DOS attack in state estimation, Asian Journal of Control, 2016, 19(4): 1295-1305.

19. Sun J., Miao Z., Gong D. W., A surrogate-assisted memetic algorithm for interval multi-objective optimization, In: Proceedings of 2017 IEEE Series on Computational Intelligence, 2017, 1-8.

20. Sun J., Gong D. W., Miao Z., Xu Z. G., Zhang H., Ensemble dominance for solving interval programming problems, Proceedings of IEEE International Conference on Evolutionary Computation, 2016, 562-569.

21. Sun J., Gong D. W., Sun X. Y., Solving interval multi-objective optimization problems using evolutionary algorithms with preference polyhedron, Proceeding of Genetic and Evolutionary Computation Conference, 2011, 729-736, 2011.

22. Sun J., Gong D. W., Sun X. Y., Optimizing interval multi-objective problems using IEAs with preference direction, Proceedings of 18th International Conference on Neural Information Processing, 2011, 445-452.

23. Lin S., Geng N., Sun J., Zhang Y., A grouping method based on improved PSO for task allocation in rescue environment, Proceedings of IEEE International Conference on Evolutionary Computaiton, 2020, 1-8.

24. Gong D. W., Miao Z., Sun J., A memetic algorithm for multi-objective optimization problems with interval parameters, Proceedings of IEEE International Conference on Evolutionary Computation, 2016, 1674-1681.

25. Gong D. W., Sun F. L., Sun J., Sun X. Y., Set-based Many-objective optimization guided by preferred regions, Lecture Notes in Artificial Intelligence, 2015, 9227: 87-93.

26. Gong D. W., Ji X. F., Sun J., Sun X. Y., Interactive evolutionary algorithms with decision-maker’s preferences for solving interval multi-objective optimization problems, Proceedings of 8th International Conference on Emerging Intelligent Computing Technology and Applications, 2012, 23-29.

27. Yang L., Gong D. W., Sun X. Y., Sun J., Surrogate models for user’s evaluations base on weighted support vector machine in IGAs, Proceedings of 10th World Congress on Intelligent Control and Automation, 2012, 144-149.

28. Zhang J., Zhang H., Wang Y., Bo L., Sun J., Automatic detection of minimal repeated pattern in printing fabric image, Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, 2018, 351-352.

29. Zhang H., Zhou H., Jiao W., Shi J., Zhang Q., Sun J., Zhang J., Biological features de-identification in iris images,Proceeding of the 15th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN),2018, 1-8.

    授权发明专利

    [1]用于窗帘设计的交互式进化优化方法，国家知识产权局，ZL 201110094666.4.

    荣誉及获奖

    [1] 2019年获江苏省科学技术二等奖.

    [2] 2020年江苏省高校“青蓝工程”中青年学术带头人.

    [3] 2016年江苏省本科优秀毕业论文三等奖，指导教师.

    [4] 2021年连云港市521第二层次人才.

    [5] 2020年新版必赢网站高等教育教学成果奖一等奖.

    [6] 2021、2018、2015年校优秀毕业论文指导教师.

    [7] 2019年校三育人先进个人.

    [8] 2015年校优秀党员.

    [9] 2012年中国矿业大学优秀博士论文.