Publications

Most of my papers are listed here, see also my Google Scholar, Web of Science, Scopus, or ResearchGate profile. Please contact me if you need further information.

Papers under review/revision

1. Y. Sun, T. Zhang, S. Ding, S. Yang, Z. Yuan. Risk assessment of high-speed railway CTC system based on improved game theory and cloud model. Railway Sciences, 2024, revise.

2. Y. Zhang, C. Chen, S. Ding, F. Deng. An Integer Programming Approach for Angular Coverage under Uncertainty. 2024 63rd IEEE Conference on Decision and Control (CDC), Milan, Italy. IEEE, 2024, submitted.

3. L. Jiao, Z. Peng, M. Guo, S. Ding, J. Cui. Location-routing problem with interdependent mobile depots for post-disaster relief. Expert Systems with Applications, 2023, submitted.

Book

1. S. Ding, C. Chen, Q. Zhang, B. Xin, P. M. Pardalos. Metaheuristics for Resource Deployment under Uncertainty in Complex Systems. Boca Raton FL, USA: CRC Press, 2021.

Journal Papers

1. Y. Wei, X. Zeng, H. Fang, Y. Ding, S. Ding. Generalized Nash equilibrium seeking for directed nonsmooth multi-cluster games via a Distributed Lipschitz algorithm. IEEE Transactions on Control of Network Systems, 2024, accepted. [pdf]

2. J. Lin, S. Li, N. Qin, S. Ding. Entity Recognition of Railway Signal Equipment Fault Information Based on RoBERTa-wwm and Deep Learning Integration. Mathematical Biosciences and Engineering, 2024, 21(1): 1228-1248. [pdf]

3. S. Ding, T. Zhang, K. Sheng, Y. Chen, Z. Yuan. Key technologies and applications of intelligent dispatching command for high-speed railway in China. Railway Sciences, 2023, 2(3): 336-346. [pdf]

4. R. Wang, T. Zhang, Z. Yuan, S. Ding, Q. Zhang. A train timetable rescheduling approach based on multi-train tracking optimization of high-speed railways. Railway Sciences, 2023, 2(3): 358-370. [pdf]

5. R. Wang, Q. Zhang, X. Dai, Z. Yuan, T. Zhang, S. Ding, Y. Jin. An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage. Applied Soft Computing, 2023, 145: 110590. [pdf]

6. S. Ding, T. Zhang, R. Wang, Y. Sun, X. Zhou, C. Chen, Z. Yuan. Improved Genetic Algorithm for Train Platform Rescheduling Under Train Arrival Delays. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2023, 27(5): 959-966. [pdf]

7. S. Ding, T. Zhang, C. Chen, Y. Lv, B. Xin, Z. Yuan, R. Wang, P. M. Pardalos. An efficient particle swarm optimization with evolutionary multitasking for stochastic area coverage of heterogeneous sensors. Information Sciences, 2023, 645: 119319. [pdf]

8. S. Peng, X. Yang, S. Ding, J. Wu, H. Sun. A dynamic rescheduling and speed management approach for high-speed trains with uncertain time-delay. Information Sciences, 2023, 632: 201-220. [pdf]

9. J. Cai, Z. Peng, S. Ding, Z. Wang, Y. Wei. A problem-specific parallel pareto local search for the reactive decision support of a special RCPSP extension. Complex & Intelligent Systems, 2023, 9(6): 7055-7073. [pdf]

10. J. Wu, C. Pu, S. Ding, G. Cao, C. Xia, P. M. Pardalos. Multi-objective optimization of transport processes on complex networks. IEEE Transactions on Network Science and Engineering, 2023, 10(2): 780-794. [pdf]

11. L. Jiao, Z. Peng, L. Xi, M. Guo, S. Ding, Y. Wei. A multi-stage heuristic algorithm based on task grouping for vehicle routing problem with energy constraint in disasters. Expert Systems with Applications, 2023, 212: 118740. [pdf]

12. R. Wang, Q. Zhang, T. Zhang, T. Wang, S. Ding. Intelligent Adjustment Approach for Train Operation Based on Monte Carlo Tree Search-Reinforcement Learning. Zhongguo Tiedao Kexue/China Railway Science, 2022, 43(5): 146-156. [pdf]

13. Y. Sun, T. Zhang, T. Wang, S. Ding, K. Sheng, Z. Li. Reliability Evaluation of High Speed Railway Traffic Control System Based on Cloud Model and Combined Weighting Method. Tiedao Yunshu Yu Jingji/Railway Transport and Economy, 2022, 44(8): 103-109. [pdf]

14. R. Wang, Q. Zhang, L. Yan, S. Ding. Online Deduction of Train Operation Situation under Regional Temporary Speed Restriction. Tiedao Yunshu Yu Jingji/Railway Transport and Economy, 2022, 44(7): 127-132. [pdf]

15. J. Cai, Z. Peng, S. Liao, S. Ding. A multi-mode multi-skill project scheduling reformulation for reconnaissance mission planning. SCIENCE CHINA Information Sciences, 2022, 65(6): 169201. [pdf]

16. L. Yan, Q. Zhang, S. Ding, R. Wang. High-Speed Railway Train Operation Adjustment Based on Bi-Objective Optimization. Zhongguo Tiedao Kexue/China Railway Science, 2022, 43(2): 161-171. [pdf]

17. S. Ding, T. Zhang, Z. Liu, R. Wang, S. Lu, B. Xin, Z. Yuan. A Memetic Algorithm for High-Speed Railway Train Timetable Rescheduling. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2022, 26(3): 407-417. [pdf]

18. S. Ding, T. Zhang, R. Wang, Z. Yuan. Research on Rescheduling of Arrival and Departure Tracks at High-speed Railway Passenger Station. Tiedao Tongxin Xinhao/Railway Signalling & Communication, 2022, 58(8): 32-36. [pdf]

19. R. Wang, Q. Zhang, T. Zhang, P. Lin, S. Ding, Z. Yuan. Real-time rescheduling approach of train operation for high-speed railways using problem-specific knowledge under a station blockage. SCIENTIA SINICA Informationis, 2022, 52(11): 2121-2140. [pdf]

20. L. Jiao, Z. Peng, L. Xi, S. Ding, J. Cui. Multi-agent coverage path planning via proximity interaction and cooperation. IEEE Sensor Journal, 2022, 22(6): 6196-6207. [pdf]

21. C. Chen, X. Wu, J. Chen, P. M. Pardalos, S. Ding. Dynamic grouping of heterogeneous agents for exploration and strike missions. Frontiers of Information Technology & Electronic Engineering, 2022, 23(1): 86-100. [pdf]

22. L. Yan, Q. Zhang, R. Wang, S. Ding. Train Operation Analysis Based on Dynamics. Tiedao Yunshu Yu Jingji/Railway Transport and Economy, 2021, 43(8): 64-70. [pdf]

23. Y. Ren, Q. Zhang, Z. Yuan, T. Wang, S. Ding, Z. Li. Optimization of train platform utilization at high-speed railway stations based on arrival and departure distribution of trains. Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2021, 53(8): 137-143. [pdf]

24. X. Wu, C. Chen, S. Ding. A modified MOEA/D algorithm for solving bi-objective multi-stage weapon-target assignment problem. IEEE Access, 2021, 9: 71832-71848. [pdf]

25. J. Cai, Z. Peng, S. Ding, J. Sun. Problem-specific multi-objective invasive weed optimization algorithm for reconnaissance mission scheduling problem. Computers & Industrial Engineering, 2021, 157: 107345. [pdf]

26. L. Yan, T. Zhang, Y. Gao, R. Wang, S. Ding. Reliability analysis of station autonomous computer system based on fuzzy dynamic fault tree and Markov model. Engineering Reports, 2021, 3(8): e12376. [pdf]

27. Y. Sun, Q. Zhang, Z. Yuan, Y. Gao, S. Ding. Quantitative Analysis of Human Error Probability in High-Speed Railway Dispatching Tasks. IEEE Access, 2020, 8: 56253-56266. [pdf]

28. W. Xu, C. Chen, S. Ding, P. M. Pardalos. A bi-objective dynamic collaborative task assignment under uncertainty using modified MOEA/D with heuristic initialization. Expert Systems with Applications, 2020, 140: 112844. [pdf]

29. Q. Zhang, Z. Yuan, L. Yan, T. Zhang, Y. Miao, S. Ding. A Railway Train Number Tracking Method Using a Prediction Approach. IEEE Access, 2019, 7: 138288-138298. [pdf]

30. S. Ding, C. Chen, B. Xin, P. M. Pardalos. A bi-objective load balancing model in a distributed simulation system using NSGA-II and MOPSO approaches. Applied Soft Computing, 2018, 63: 249-267. [pdf] [code]

31. S. Ding, C. Chen, B. Xin, J. Chen, Status and progress in deployment optimization of firepower units. Kongzhi Lilun Yu Yingyong/Control Theory and Application, 2015, 32(12): 1569-1581. [pdf]

32. S. Ding, C. Chen, J. Chen, B. Xin, An Improved Particle Swarm Optimization Deployment for Wireless Sensor Networks. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2014, 18(2): 107-112. [pdf] (JACIII Young Researcher Award, 2017)

Conference Papers

1. T. Wu, Y. Zhang, C. Miao, C. Chen, S. Ding. Mixed-Variable Correlation-Aware Metaheuristic for Deployment Optimization of 3-D Sensor Networks. In Proceedings of the 2024 Genetic and Evolutionary Computation Conference, Melbourne, Australia. ACM, 2024, accepted.

2. Y. Sun, T. Zhang, S. Ding, Z. Li, A. Li. Research on quantitative evaluation model of human error probability of high-speed railway train dispatchers. Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), Dalian, China. SPIE, 2024, 13064: 637-648. [pdf]

3. Y. Ren, Y. Sun, S. Ding, Z. Li, X. Zhou. Research on risk identification of human errors of train dispatchers in high-speed railway. Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), Dalian, China. SPIE, 2024, 13064: 6-13. [pdf]

4. S. Ding, L. Yan, Y. Sun, Y. Ren, X. Zhou, Q. Fu. Evolutionary Multi-Objective Optimization for High-Speed Railway Train Timetable Rescheduling with Optimal/Suboptimal Solutions into Initial Population. 2024 Australian & New Zealand Control Conference (ANZCC), Gold Coast, Australia. 2024: 259-264. [pdf] [slides]

5. Y. Zhang, C. Chen, T. Wu, C. Miao, S. Ding. Surrogate-Assisted Hybrid Metaheuristic for Mixed-Variable 3-D Deployment Optimization of Directional Sensor Networks. The 5th International Conference on Data-driven Optimization of Complex Systems (DOCS’2023), 2023. [pdf]

6. Y. Sun, S. Ding, K. Sheng, Y. Ren. Research on Operation Risk Assessment of High-Speed Railway Intelligent Dispatching Centralized Traffic Control System. The 17th China Intelligent Transportation Annual Conference 2022 (ITSAC 2022), Chengdu, China. 2022. [pdf]

7. S. Ding, T. Zhang, R. Wang, Y. Sun, X. Zhou, C. Chen. A Mixed Encoding Genetic Algorithm for Train Platforming Rescheduling under Train Delays. The 10th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2022), Beijing, China. 2022. [pdf] [slides]

8. Y. Sun, S. Ding, Z. Li, Y. Ren, K. Sheng, Y. Yang. Research on Human Reliability of the High-speed Railway Intelligent Dispatching Centralized Traffic Control System, 2022 7th International Conference on Intelligent Transportation Engineering (ICITE), Beijing, China. IEEE, 2022: 111-116. [pdf]

9. G. Gao, B. Xin, Y. Mei, S. Lu, S. Ding. A Multi-objective Evolutionary Algorithm with New Reproduction and Decomposition Mechanisms for the Multi-Point Dynamic Aggregation Problem. In Proceedings of the 2022 Genetic and Evolutionary Computation Conference, Boston, USA. ACM, 2022: 1182-1190. [pdf]

10. S. Ding, T. Zhang, R. Wang, C. Zhang, S. Lu, B. Xin. A Comparative Study on Evolutionary Algorithms for High-Speed Railway Train Timetable Rescheduling Problem. The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII2021), Beijing, China. 2021. [pdf] [slides] (IWACIII 2021 Session Best Presentation Award)

11. S. Ding, R. Wang, X. Zhou, Y. Ren, K. Huang. High-Speed Railway Train Timetable Rescheduling in Case of a Stochastic Section Blockage. 2021 Chinese Automation Congress (CAC), Beijing, China.IEEE, 2021: 4322-4327. [pdf] [poster]

12. S. Ding, Q. Zhang, Z. Yuan. An under-approximation for the robust uncertain two-level cooperative set covering problem. 2020 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Republic of Korea. IEEE, 2020: 1152-1157. [pdf] [slides]

13. J. Cai, Z. Peng, S. Ding, J. Sun. A Robust Genetic Algorithm to Solve Multi-Skill Resource Constrained Project Scheduling Problem with Transfer Time and Uncertainty Skills. 2020 IEEE 16th International Conference on Control & Automation (ICCA), Sapporo, Hokkaido, Japan. IEEE, 2020: 1584-1589. [pdf]

14. Y. Wei, S. Ding, H. Fang, X. Zeng, Q. Yang, B. Xin. Distributed Nonsmooth Robust Resource Allocation with Cardinality Constrained Uncertainty. 2019 Chinese Control Conference (CCC), Guangzhou, China. IEEE, 2019: 5758-5763. [pdf] [slides]

15. X. Sun, S. Ding. Bunker hedging with Expected Loss Control by buffered Probability of Exceedance and Conditional Value-at-Risk. In Annual Conference of the International Association of Maritime Economists, IAME 2017. Kyoto, Japan. [pdf]

16. Z. Sun, S. Ding. Research on Standardized Development Method of Scenario for Combat Information Simulation System. In Proceedings of 33rd Chinese Control Conference (CCC), Nanjing, China. IEEE, 2014: 6298-6303. [pdf]

17. S. Ding, J. Chen, C. Chen, B. Xin. An improved deployment algorithm for wireless sensor networks based on Particle Swarm Optimization. In Proceedings of the Ninth China-Japan International Workshop on Internet Technology and Control Applications, Beijing, China. 2013: 138-142. [pdf] [slides]