我的个人简介

中文, English

孙超利,教授,博导
太原科技大学 计算机科学与技术学院山西省太原市万柏林区瓦流路66号, 030024
E-mail:  chaoli.sun.cn@gmail.com; chaoli.sun@tyust.edu.cn

学习经历:

  • 2007/09–2011/06   太原科技大学 机械工程学院 获工学博士学位  获工学博士学位
  • 2000/09–2003/04   河海大学   计算机及信息工程学院   获工学硕士学位
  • 1996/09–2000/07   河海大学   计算机及信息工程学院   获工学学士学位

工作经历:

  • 2017/12–至今          太原科技大学   计算机科学与技术学院   教授
  • 2011/08–2017/11    太原科技大学   计算机科学与技术学院   副教授
  • 2014/09–2016/09    英国萨里大学   计算机学院   博士后
  • 2012/10–2013/03    英国萨里大学   计算机学院   访问学者
  • 2009/03–2009/06    台湾高雄应用科技大学   电子学院   学术交流
  • 2006/09–2011/07    太原科技大学   计算机科学与技术学院  讲师
  • 2003/04–2006/08    太原科技大学   计算机科学与技术学院   助教

研究领域:

  • 群智能优化,微粒群算法,机器学习,代理模型辅助的进化优化及这些优化方法在实际工程中的应用

专业组织活动:

  • IEEE计算智能协会Intelligent Systems Applications Technical Committee (ISATC) 委员
  • IEEE计算智能协会Evolutionary Computation Technical Committee (ECTC) 委员
  • IEEE计算智能协会Emergent Technologies Technical Committee (ETTC) 委员
  • ACM太原分会常务理事
  • CCF太原分部副秘书长
  • 中国人工智能学会机器博弈专业委员会委员
  • 中国自动化学会大数据专业委员会委员
  • 中国自动化学会建筑机器人专业委员会委员
  • IEEE计算智能协会进化计算技术委员会数据驱动的复杂进化优化小组主席
  • IEEE计算智能系列研讨会(IEEE SSCI 2016)基于模型进化算法分会数据驱动的复杂进化优化专题会主席
  • GECCO’2016 程序委员会委员

其它期刊任职:

  • Soft Computing副编辑
  • Associate Editor, Complex & Intelligent Systems编委

科研项目:

  • 数据驱动的高维复杂进化优化方法研究,国家自然科学基金面上项目,2019年1月-2022年12月,主持
  • 代理模型辅助的优化算法在复杂多目标优化问题中的应用研究,山西省自然科学基金,2018年12月-2020年12月,主持
  • 代理模型辅助的优化算法在复杂高维问题中的应用研究,山西省留学回国人员科技活动择优资助项目,2017年11月至2020年10月,主持
  • 结合先进机器学习方法的代理模型进化算法研究,国家青年基金,2015年1月至2017年12月,主持
  • 数据驱动的多目标进化优化算法研究,东北大学流程工业综合自动化国家重点实验室开放课题,主持
  • 面向复杂机械系统优化设计的群体智能优化算法研究,山西省青年基金,2011年1月至2013年12月,主持
  • 微粒群算法预测策略的研究,太原科技大学博士启动基金,2012年1月至2014年12月,主持

教研项目:

  • 以计算机博弈比赛为载体的创新人才培养模式研究,山西省教改项目,2014年7月至2016年7月,主持
  • 计算机博弈系统中随机搜索算法的应用和研究, 山西省高等学校大学生创新创业训练项目,2014年7月至2016年7月,指导教师
  • 亚马逊棋计算机博弈系统,山西省高等学校大学生创新创业训练项目,2012年7月至2013年7月,指导教师

发表论著:

专著:

  1. 孙超利,面向机械系统优化设计的微粒群算法,机械工业出版社,2012。
  2. T. Chugh, C. Sun, H. Wang, Y. Jin, Surrogate-Assisted Evolutionary Optimization of Large Problems. In: Bartz-Beielstein T., Filipič B., Korošec P., Talbi EG. (eds) High-Performance Simulation-Based Optimization. Studies in Computational Intelligence, vol 833. Springer, Cham, 2020.

期刊论文:

  1. Haibo Yu, Ying Tan, Chaoli Sun, Jianchao Zeng, A comparison of quality measures for model selection in surrogate assisted evolutionary algorithm, Soft Computing, 2019, accepted.
  2. Jie Tian, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin, Multi-objective Infill Criterion Driven Gaussian Process Assisted Particle Swarm Optimization of High-dimensional Expensive Problems, IEEE Transactions on Evolutionary Computation, 2019, 23(3), 459-472.
  3. Haibo Yu, Ying Tan, Jianchao Zeng, Chaoli Sun, A generation-based optimal restart strategy for surrogate-assisted social learning particle swarm optimization, Knowledge-Based Systems, 2019, 163(1), 14-25.
  4. 田杰,孙超利,谭瑛,曾建潮,基于多点加点准则的代理模型辅助社会学习微粒群算法,控制与决策,2018,录用.
  5. Haibo Yu, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin, Surrogate-assisted Hierarchical Particle Swarm Optimization, Information Sciences, 2018, 454-455, pp. 59-72.
  6. Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng, Surrogate-assisted Cooperative Swarm Optimization of High-dimensional Expensive Problems, IEEE Transactions on Evolutionary Computation, 2017, 21(4), pp. 644-660.
  7. Hyondong Oh, Ataollah Ramezan Shirazi, Chaoli Sun, Yaochu Jin, Bio-inspired self-organising multi-robot pattern formation: A review, Robotics and Autonomous Systems, 2017,91, pp. 83-100.accepted.
  8. Chaoli Sun, Yaochu Jin, Jinliang Ding, Jianchao Zeng, A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems, Memetic Computing, 2016, pp. 1-12.
  9. Chaoli Sun, Yaochu Jin, Jianchao Zeng, Yang Yu, A Two-layer Surrogate-assisted Particle Swarm Optimization Algorithm, Soft Computing, 2015, 19(6), pp. 1461-1475.
  10. 刘彤,孙超利,曾建潮,微粒群进化估值策略在多目标优化中的应用,太原科技大学学报,2015, 36(5), pp. 338-347.
  11. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, Songdong Xue, Yaochu Jin, A New Fitness Estimation Strategy for Particle Swarm Optimization, Information Sciences, 2013, 221, pp. 355-370.
  12. Yongjin Ren, Chaoli Sun, Jianchao Zeng, Jengshyang Pan, GRNN-based Prediction Strategy for Particle Swarm Optimization, International Journal of Advancements in Computing Technology, 2013, 5(6), pp. 390-398.
  13. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, A Modified Particle Swarm Optimization with Feasibility-based Rules for Mixed-variable Optimization Problems, International Journal of Innovative Computing, Information and Control, 2011, 7(6), 3081-3096.
  14. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, An Improved Vector Particle Swarm Optimization for Constrained Optimization Problems, Information Sciences, 2011, 181(6), 1153-1163.
  15. Chaoli Sun, Ying Tan, Jianchao Zeng, Jengshyang Pan, Yuanfang Tao, The Structure Optimization of Main Beam for Bridge Crane Based on An Improved PSO, Journal of Computers, 2011, 6(8), 1585-1590.
  16. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, Yuanfang Tao, Crank Block Steering Mechanism Optimization for Forklift Truck Based on Vector PSO, Advanced Materials Research, 2011, 145(43), 43-48.

会议论文:

  1. Hao Wang, Chaoli Sun, Yaochu Jin, Shufen Qin, Haibo Yu, A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization, 2019 IEEE Congress on Evolutionary Computation (CEC), 2019.6.10-13, Wellington, New Zealand, 2019, pp. 2043-2050
  2. Shufen Qin, Chaoli Sun, Yaochu Jin, Lier Lan, Ying Tan, A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization, 2019 IEEE Congress on Evolutionary Computation (CEC), 2019.6.10-13, Wellington, New Zealand, 2019, pp. 2427-2434
  3. Chaoli Sun, Yaochu Jin, Ying Tan, Semi-supervised Learning Assisted Particle Swarm Optimization of Computationally Expensive Problem, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’18), 2018.7.15-19, Kyoto, Japan, 2018, pp. 45-52.
  4. Jie Tian,Ying Tan, Chaoli Sun, Jianchao Zeng, Yaochu Jin, Comparisons of Different Kernels in Kriging-Assisted Evolutionary Expensive Optimization, 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017.11-27-12.1, Hawaii, USA, 2017, pp. 2402-2409.
  5. Haibo Yu, Ying Tan, Chaoli Sun, Jianchao Zeng, Clustering-based evolution control for surrogate-assisted particle swarm optimization, 2017 IEEE Congress on Evolutionary Computation (CEC), 2017.6.5-8, Spain, 2017, pp. 503-508.
  6. Haibo Yu, Chaoli Sun, Yin Tan, Jianchao Zeng, Yaochu Jin, An Adaptive Model Selection Strategy for Surrogate-Assisted Particle Swarm Optimization Algorithm, 2016 IEEE Symposium Series on Computational Intelligence, 2016.
  7. Jie Tian, Chaoli Sun, Yaochu Jin, Yin Tan, Jianchao Zeng, A Self-adaptive Similarity-based Fitness Approximation for Evolutionary Optimization, 2016 IEEE Symposium Series on Computational Intelligence, 2016.
  8. Qianqian Kong, Xiaojuan He, Chaoli Sun, A surrogate-assisted hybrid optimization algorithms for computational expensive problems, 12th World Congress on Intelligent Control and Automation (WCICA), 2016, pp. 2126-2130.
  9. Tong Liu, Chaoli Sun, Jianchao Zeng, Songdong Xue, Yaochu Jin, Similarity-and reliability-assisted fitness estimation for particle swarm optimization of expensive problems, 2014 IEEE Congress on Evolutionary Computation (CEC), 2014.7.6-11, Beijing, 2014, pp. 640-646.
  10. Ge Gao, Chaoli Sun, Jianchao Zeng, Songdong Xue, A constraint approximation assisted PSO for computationally expensive constrained problems, 11th World Congress on Intelligent Control and Automation (WCICA), 2014.6.29-7.4, Shenyang, 2015, pp. 1354-1359.
  11. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, Yaochu Jin, Similarity-based Evolution Control for Fitness Estimation in Particle Swarm Optimization, 2013 IEEE Symposium Series on Computational Intelligence, 2013.4.16-19, Singapore, 2013, pp. 1-8.
  12. Ran Cheng, Chaoli Sun, Yaochu Jin, A Multi-swarm Evolutionary Framework Based on a Feedback Mechanism, 2013 IEEE Congress on Evolutionary Computation, 2013.6.20-23, Cancun, Mexico, 2013, pp. 718-724.
  13. Yunqiang Zhang, Ying Tan, Chaoli Sun, Jianchao Zeng, A Hybrid Intelligent Algorithm for Mixed-variable Optimization Problems, 2011 International Conference on Future Communication, Computing, Control and Management, 2011.12.16-17, Phuket, Thailand, 2012, 141(1), pp. 249-256.
  14. Chaoli Sun, Jianchao Zeng, Shuchuan Chu, John F. Roddick, Jengshyang Pan, Solving Constrained Optimization Problems by An Improved Particle Swarm Optimization, 2nd International Conference on Innovations in Bio-Inspired Computing and Applications, 2011.12.16-18, Shenzhen, China, 2011, pp. 124-128.
  15. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, Yunqiang Zhang, PSO with Constraint-preserving Mechanism for Mixed-variable Optimization Problems, 1st International Conference on Robot, Vision and Signal Processing, 2011.11.21-23, Kaohsiung, Taiwan, 2011, pp. 149-153.
  16. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, Shuchuan Chu, Yunqiang Zhang, Yunqiang Zhang, A Double Particle Swarm Optimization for Mixed-variable Optimization Problems, 3rd International Conference on Computational Collective Intelligence – Technologies and Applications, 2011.9.21-23, Gdynia, Poland, 2011, pp. 93-102.
  17. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, Yuanfang Tao, Crank Block Steering Mechanism Optimization for Forklift Truck Based on PSO, 2nd International Conference on Computer Engineering and Technology, 2010.4.16-18, Chengdu, China, 2010, pp. 200-204.
  18. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, A New Vector Particle Swarm Optimization for Constrained Optimization Problems, 2009 International Joint Conference on Computational Sciences and Optimization, 2009.4.24-26, Sanya, Hainan Island, China, 2009, pp. 485-488.
  19. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, A Particle Swarm Optimization with Feasibility-based Rules for Mixed-variable Optimization Problems, 2009 Ninth International Conference on Hybrid Intelligent Systems, 2009.8.12-14, Shenyang, China, 2009, pp. 543-547.
  20. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, An Improved Particle Swarm Optimization with Feasibility-based Rules for Constrained Optimization Problems, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2009.6.24-27, Tainan, Taiwan, 2009, pp. 202-211.
  21. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, An Improved Particle Swarm Optimization with Feasibility-based Rules for Mixed-variable Optimization Problems, 2009 Fourth International Conference on Innovative Computing, Information and Control, 2009.12.7-9, Kaohsiung, Taiwan, 2009, pp. 897-903.
  22. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, A New Method for Constrained Optimization Problems to Produce Initial Values, 2009 Chinese Control and Decision Conference, 2009.6.17-19, Guilin, China, 2009, pp. 2690-2692.