About Me
I’m currently a PhD candidate in Computer Science, Victoria University of Wellington, Wellingtonm, New Zealand. I received my Master degree in Computer Science and Technology in 2023, and Bachelor in Computer Science and Technology in 2020 from Southern University of Science and Technology (SUSTech), Shenzhen, China.
Research Interests
- Adaptive Operator Selection
- Vehicle Scheduling
- Combinatorial Optimisation
- Evolutionary Computation
- Lifelong Learning
Publications
J. Pei, Y. Mei, J. Liu, and M. Zhang, “LiBOG: Lifelong Learning for Black-Box Optimizer Generation”, accepted at 34th International Joint Conference on Artificial Intelligence (IJCAI) 2025. [Paper] [Code]
J. Pei, Y. Mei, J. Liu, M. Zhang and X. Yao, “Adaptive Operator Selection for Meta-Heuristics: A Survey”, IEEE Transactions on Artificial Intelligence (TAI), vol. 6, no. 8, pp. 1991-2012, Aug. 2025. DOI: 10.1109/TAI.2025.3545792. [Paper]
J. Pei, Y. Mei, J. Liu “Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), ACM, pp. 1017-1025, 2024. (The only one Best Paper Award nomination in L4EC track) [Paper]
J. Pei, H. Tong, J. Liu, Y. Mei, and X. Yao, “Local Optima Correlation Assisted Adaptive Operator Selection,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), ACM, pp. 339-347, 2023. [Paper]
J. Pei, Y. Mei , J. Liu, and X. Yao, “An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem,” in Pacific Rim International Conference on Artificial Intelligence (PRICAI), Springer, pp. 562-573, 2022. [Paper]
J. Pei, C. Hu, J. Liu, Y. Mei and X. Yao, “Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access,” in IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 01-09, 2021. [Paper]
More can be found in Google Scholar.