About Me

中文, English

Chaoli Sun, PhD, Professor

Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China

E-mail: chaoli.sun.cn@gmail.com, chaoli.sun@tyust.edu.cn

Education:

  • 2007 – 2011   Ph.D. in mechanical design and optimization, Taiyuan University of Science and Technology, Shanxi, China
  • 2000 – 2003   Master Degree, Hohai University, Jiangsu, China
  • 1996 – 2000   Bachelor Degree, Hohai University, Jiangsu, China

Working Experience:

  • 2017.12 – now   Professor in Department of Computer Science and Technology, Taiyuan University of Science and Technology, China
  • 2011.09 – 2017.11   Associate Professor in Department of Computer Science and Technology, Taiyuan University of Science and Technology, China
  • 2014.09 – 2016.09   Research fellow in Department of Computer Science, University of Surrey, Guildford, UK
  • 2012.10 – 2013.03   Academic visitor, University of Surrey, Guildford, UK
  • 2009.03 – 2009.06   Visiting PhD student, National Kaohsiung University of Applied Sciences, Taiwan
  • 2006.09 – 2011.08   Lecturer, School of Computer Science and Technology, Taiyuan University of Science and Technology, China

Research Expertise:

Swarm intelligence, particle swarm optimization, surrogate-assisted evolutionary optimization, and their applications to practical engineering problems

Professional Activities:

  • Member, Intelligent Systems Applications Technical Committee (ISATC), IEEE Computational Intelligence Society
  • Member, Evolutionary Computation Technical Committee (ECTC), IEEE Computational Intelligence Society
  • Member, Emergent Technologies Technical Committee (ETTC), IEEE Computational Intelligence Society
  • Standing director, ACM  Taiyuan Chapter
  • Chair, Task force on Data-Driven Evolutionary Optimization of Expensive Problems, Evolutionary Computation Technical Committee, IEEE Computational Intelligence Society
  • Member, Computer Games Committee, Chinese Association for Artificial Intelligence
  • Member, Big Data Committee, Chinese Association of Automation
  • Member, Architecture Robots Committee, Chinese Association of Automation
  • Member, Task Force on Computational Intelligence for Operations Research and Management Sciences, Emergent Technologies Technical Committee, IEEE Computational Intelligence Society

Editorial and Review Services:

  • Guest Editor, Special Issue on IEEE Transaction on Emerging Topics in Computational Intelligence
  • Associate Editor, Soft Computing, 2015 –
  • Editorial Board Member, Complex & Intelligent Systems, 2015 –
  • Reviewer, IEEE Transactions on Evolutionary Computation
  • Reviewer, Swarm and Evolutionary Computation

Conference Activities

  • Chair, Special session on “Data-Driven Evolutionary Optimization of Computationally Expensive Problems”, IEEE Symposium on Model Based Evolutionary Algorithm, 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2018) .
  • Chair, Special session on “Data-Driven Evolutionary Optimization of Computationally Expensive Problems”, IEEE Symposium on Model Based Evolutionary Algorithm, 2017 IEEE Congress on Evolution Computation (IEEE CEC 2018) .
  • Chair, Special session on “Data-Driven Evolutionary Optimization of Computationally Expensive Problems”, IEEE Symposium on Model Based Evolutionary Algorithm, 2017 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017) .
  • Chair, Special session on “Data-Driven Evolutionary Optimization of Computationally Expensive Problems”, IEEE Symposium on Model Based Evolutionary Algorithm, 2017 IEEE Congress on Evolution Computation (IEEE CEC 2017) .
  • Chair, Special session on “Data-Driven Evolutionary Optimization of Computationally Expensive Problems”, IEEE Symposium on Model Based Evolutionary Algorithm, 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) .
  • Chair, Special session on “Data-Driven Evolutionary Optimization of Computationally Expensive Problems”, IEEE Symposium on Model Based Evolutionary Algorithm, 2016 IEEE Congress on Evolution Computation (IEEE CEC 2016) .
  • PC member, GECCO 2016, 2017
  • PC member, UKCI 2013

Funded Projects:

  • “Study on Methods for Data-driven High-dimensional Complex Evolutionary Optimization”,National Natural Science Foundation of China under Grant No. 61876123, 2019.1-2022.12.
  • “Surrogate-assisted Optimization for Complex multi-objective problems”, National Natural Science Foundation of Shanxi Province under Grant No. 201801D121131, 2018.12-2020.12
  • “Surrogate-assisted Optimization on Large-scale Complex Problems”, Technology Foundation for Selected Overseas Chinese Scholar, Ministry of Personnel of China, 2017.11-2020.10.
  • “Integration of Advanced Machine Learning Techniques for Surrogate-Assisted Evolutionary Algorithms”, National Natural Science Foundation of China under Grant No. 61403272, 2015.1.1 – 2017.12.31.
  • “Data-driven multiobjective evolutionary optimization algorithms”, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, China, 2015.1.1 – 2017.12.31
  • “Swarm Intelligent Optimization Algorithms for Complicated Mechanical System Optimization Design”, Youth Foundation of Shanxi Province of China under Grant No. 2011021019-3, 2011.1-2013.12 

Publications:

Books:

  • Chaoli Sun,Particle Swarm Optimization for Optimal Design of Mechanical System, China Machine Press, 2012.
  • 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.

Journal papers:

  1. Peng Liao, Chaoli Sun, Guochen Zhang, Yaochu Jin, Multi-surrogate Multi-tasking Optimization of Expensive problems, Knowledge-Based Systems, 2020, accepted.
  2. Hao Wang, Mengnan Liang, Chaoli Sun, Guochen Zhang, Liping Xie, Multiple-strategy learning particle swarm optimization for large-scale optimization problems, Complex & Intelligent Systems, 2020, accepted.
  3. Shufen Qin, Chaoli Sun, Guochen Zhang, Xiaojuan He, Ying Tan, A modified particle swarm optimization based on decomposition with different ideal points for many-objective optimization problems, Complex & Intelligent Systems, 2020, accepted.
  4. 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.
  5. 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.
  6. Haibo Yu, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin, Surrogate-assisted Hierarchical Particle Swarm Optimization, Information Sciences, 2018, 454-455, pp. 59-72.
  7. 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.
  8. 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.
  9. Chaoli Sun, Jinliang Ding, Jianchao Zeng, Yaochu Jin, A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems, Memetic Computing, 1-12, 2016.
  10. Chaoli Sun, Yaochu Jin, Jianchao Zeng, Yang Yu, A Two-layer Surrogate-assisted Particle Swarm Optimization Algorithm, Soft Computing, 19(6), 1461–1475, 2015, DOI 10.1007/s005-014-1283-z.
  11. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, Songdong Xue, Yaochu Jin, A New Fitness Estimation Strategy for Particle Swarm Optimization, Information Sciences, 221, 355-370, 2013.
  12. Yongjing Ren, Chaoli Sun, Jianchao Zeng, Jengshyang Pan, GRNN-based Prediction Strategy for Particle Swarm Optimization, International Journal of Advancements in Computing Technology, 5(6), 390-398, 2013.
  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, 7(6), 3081-3096, 2011.
  14. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, An Improved Vector Particle Swarm Optimization for Constrained Optimization Problems, Information Sciences, 181(6), 1153-1163, 2011.
  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, 6(8) , 1585-1590, 2011.
  16. Chaoli Sun, Jianchao Zeng, Jengshyang Pan, Yuanfang Tao, Crank Block Steering Mechanism Optimization for Forklift Truck Based on Vector PSO, Advanced Materials Research, 145(43), 43-48, 2011.

Conferences papers:

  1. Guoxia Fu, Chaoli Sun, Ying Tan, Guochen Zhang, Yaochu Jin, A Surrogate-assisted Evolutionary Algorithm with Random Feature Selection for Large-scale Expensive Problems, 16th International Conference on Parallel Problem Solving from Nature (PPSN), 2020, accepted.
  2. Shufen Qin, Chaoli Sun, Yaochu Jin, Guochen Zhang, Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019.12-6-9, Xiamen, China, 2019, pp. 2074-2080.
  3. 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
  4. 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
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Qianqian Kong, Xiaojun He, Chaoli Sun, A Surrogate-assisted Hybrid Optimization Algorithms for Computational Expensive Problems, The 12th World Congress on Intelligent Control and Automation, 2016.6.12-15, Guilin, China, 2016, accepted.
  11. 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, China, 640-646, 2014.
  12. Ge Gao, Chaoli Sun, Jianchao Zeng, Songdong Xue, A Constraint Approximation assisted PSO for Computationally Expensive Constrained Problems, The 11th World Congress on Intelligent Control and Automation, 2014.6.29-7.4, Shenyang, China, 1354-1359, 2014.
  13. 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, 1-8, 2013.
  14. Ran Cheng, Chaoli Sun, Yaochu Jin, A multi-swarm evolutionary framework based on a feedback mechanism, 2013 IEEE Congress on Evolutionary Computation (CEC), 2013.6.20-23, Cancún, México, 718-724, 2013.
  15. 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, 141(1), 249-256, 2012.
  16. 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, 124-128, 2011.
  17. 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,11.21-23, Kaohsiung, Taiwan, 149-153, 2011.
  18. 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, 93-102, 2011.
  19. 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, 200-204, 2010.
  20. 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, 485-488, 2009.
  21. 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, 543-547, 2009.
  22. 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, 202-211, 2009.
  23. 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, 897-903, 2009.
  24. 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, 2690-2692, 2009.