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Jiyuan Pei

Male. Chinese. PhD candidate in Computer Science, Victoria University of Wellington.

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