Research interests
- Adaptive Operator Selection
- Vehicle Scheduling
- Combinatorial Optimisation
- Evolutionary Computation
- Lifelong Learning
Education
- Victoria University of Wellington (VUW), April 2024 - Now, Wellington, New Zealand
- PhD, Computer Science, School of Engineering and Computer Science
- Southern University of Science and Technology (SUSTech), September 2020 - June 2023, Shenzhen, China
- Master, Computer Science and Technology, Department of Computer Science and Engineering
- Southern University of Science and Technology (SUSTech), September 2016 - June 2020, Shenzhen,
China
- Graduate, Computer Science and Technology, Department of Computer Science and Engineering
Selected Publications
- 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), 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