Dr Miqing Li

Dr Miqing Li

School of Computer Science
Associate Professor

Contact details

Telephone
+44 (0) 121 414 3712
Email
m.li.8@bham.ac.uk
Address
School of Computer Science
ºÚÁϳԹÏÍø
Edgbaston
Birmingham
B15 2TT
UK

Dr Miqing Li is an Associate Professor within the School of Computer Science at the ºÚÁϳԹÏÍø. His research is principally on multi-objective optimisation, where he focuses on developing population-based randomised algorithms (mainly evolutionary algorithms) for both general challenging problems (e.g. many-objective optimisation, constrained optimisation, robust optimisation, expensive optimisation) and specific challenging problems in other fields (e.g. software engineering, system engineering, product disassembly, post-disaster response, neural architecture search, reinforcement learning).

Miqing has published over 60 research papers in scientific journals and international conferences. Some of his papers, since published, have been amongst the most cited papers in corresponding journals such as IEEE Transactions on Evolutionary Computation, Artificial Intelligence, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Parallel and Distribution Systems

Please see  to find out more about his work.


Teaching

  • Algorithms for Data Science (MSc), autumn 2020, module lead.
  • Artificial Intelligence, (BSc, MSc), spring 2020, support.
  • Mathematical Foundation of Artificial Intelligence and Machine Learning (MSc), autumn 2020, support.
  • Artificial Intelligence II (BSc), spring 2021, support.

Research

  • Evolutionary multi-/many-objective optimisation --- algorithm design, performance assessment, archiving.
  • Evolutionary computation for other general challenging scenarios --- constraint handling, multi-modal optimisation, dynamic/robustness optimisation, data-driven optimisation.
  • Multi-criteria decision-making --- visualisation, objective reduction, assisted decision-making.
  • Search-based software engineering --- testing, software product line, software service composition
  • Engineering applications --- disassembly line balancing, post-disaster response, workflow scheduling in cloud computing.
  • Multi-objective optimisation for machine learning --- neural architecture search, reinforcement learning for video game.

Publications

Recent publications

Article

Tong, H, Li, M, Liu, J & Yao, X 2025, '', IEEE Transactions on Evolutionary Computation.

Jiang, C & Li, M 2025, '', ACM Transactions on Evolutionary Learning and Optimization.

Bian, C, Zhou, Y, Li, M & Qian, C 2025, '', Artificial Intelligence, vol. 341, 104308.

Chen, T & Li, M 2024, '', Proceedings of the ACM on Software Engineering, vol. 1, no. FSE, 25, pp. 539-561.

Han, X, Chao, T, Yang, M & Li, M 2024, '', Swarm and Evolutionary Computation, vol. 89, 101641.

Xiang, Y, Huang, H, Li, S, Li, M, Luo, C & Yang, X 2024, '', ACM Transactions on Software Engineering and Methodology, vol. 33, no. 2, 46, pp. 1–52.

Chu, X, Han, X, Zhang, M & Li, M 2024, '', Swarm and Evolutionary Computation, vol. 91, 101722.

Conference contribution

Ye, Y, Chen, T & Li, M 2025, . in Proceedings of the ACM/IEEE 47th International Conference on Software Engineering (ICSE). Proceedings of the International Conference on Software Engineering, Association for Computing Machinery (ACM), 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE), Ottowa, Ontario, Canada, 26/04/25.

Zhang, Q, Li, M, Tang, K & Yao, X 2025, in H Singh, T Ray, J Knowles, X Li, J Branke, B Wang & A Oyama (eds), Evolutionary Multi-Criterion Optimization: 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part I. 1 edn, Lecture Notes in Computer Science, vol. 15512, Springer, pp. 31-45, 13th International Conference on Evolutionary Multi-Criterion Optimization , Canberra, Australia, 4/03/25.

Cui, Z, Liang, Z, Pang, LM, Ishibuchi, H & Li, M 2025, . in GECCO '25: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM), The Genetic and Evolutionary Computation Conference 2025, Málaga, Spain, 14/07/25.

Ren, S, Bian, C, Li, M & Qian, C 2024, . in Parallel Problem Solving from Nature – PPSN XVIII. Lecture Notes in Computer Science, Springer, 18th International Conference on Parallel Problem Solving From Nature PPSN 2024, Hagenberg, Austria, 14/09/24.

Bian, C, Ren, S, Li, M & Qian, C 2024, . in K Larson (ed.), IJCAI '24: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence., 763, Proceedings of the International Joint Conference on Artificial Intelligence, Association for Computing Machinery (ACM), pp. 6905-6913, 33rd International Joint Conference on Artificial Intelligence, Jeju, Korea, Republic of, 3/08/24.

Li, M, Han, X, Chun, X & Liang, Z 2024, . in GECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM), pp. 547-556, GECCO '24: Genetic and Evolutionary Computation Conference, Melbourne, Victoria, Australia, 14/07/24.

Ren, S, Qiu, Z, Bian, C, Li, M & Qian, C 2024, . in K Larson (ed.), IJCAI '24: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence., 775, Proceedings of the International Joint Conference on Artificial Intelligence, Association for Computing Machinery (ACM), pp. 7012-7020, 33rd International Joint Conference on Artificial Intelligence, Jeju, Korea, Republic of, 3/08/24.

Paper

Tan, Z, Yuan, B, Wang, H & Li, M 2024, '', Paper presented at Biennial International Conference on Artificial Evolution, Talence, France, 29/10/24 - 31/10/24.