Hao Tong
  • Profile
  • Research
  • I'm Hao Tong

    I am from China. Now, I am a PhD student in the School of Computer Science of University of Birmingham.




    2020 Hao Tong

    htong6_AT_outlook
    Research Interests
  • Evolutionary Computation
  • Surrogate-based Optimization
  • Algorithm Portfolio
  • Capacitied Arc Routing Problems
  • Education
  • [2019.12 - now]: PhD student, University of Birmingham, UK
  • [2019.7 - 2019.12]: Visting Student in SUSTech, China
  • [2017.9 - 2019.6]: Post-graduate student in SUSTech, China (Master Degree)
  • [2013.9 - 2017.9]: Undergraduate student in CUMT, China (Bachelor Degree)
  • Acitivites
  • Co-organiser of GVGAI Learning Competition at IEEE CEC2019, IEEE CoG2019, PPSN2020&IEEE CoG2020, IEEE CoG2021.
  • PC members of IEEE CoG2021, IEEE CoG2022.
  • A member of the Games Technical Committee of the IEEE CIS (2020-2021).
  • Past Events
  •   GVGAI Competition in IEEE CoG2021 [ link ]
  •   GVGAI Competition in PPSN2020 & IEEE CoG2020 [ link ]
  •   GVGAI Competition in CoG2019; [ link ]
  •   GVGAI Competition in CEC2019; [ link ]
  • Publications
    1. Hao Tong

      , Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, and Xin Yao.

      A novel generalised meta-heuristic framework for dynamic capacitated arc routing problems.

      IEEE Transactions on Evolutionary Computation, Early Access, 2022. https://doi.org/10.1109/TEVC.2022.3147509
      [ cite ] [ link ] [pdf] [ code ]
    2. Hao Tong

      , Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, and Xin Yao,

      What makes the dynamic capacitated arc routing problem hard to solve: insights from fitness landscape analysis.

      Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, Accepted, https://doi.org/10.1145/3512290.3528756
      [ cite ] [ code ]
    3. Hao Tong

      , Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, and Xin Yao,

      Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation.

      IEEE WCCI 2022, Accepted.
      [ cite ]
    4. Chengpeng Hu, Ziqi Wang, Tianye Shu,

      Hao Tong

      , Julian Togelius, Xin Yao, and Jialin Liu. 2022.

      Reinforcement Learning with Dual-Observation for General Video Game Playing.

      IEEE Transactions on Games. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/tg.2022.3164242.
      [ cite ] [ link ] [ pdf ] [ code ]
    5. Hao Tong

      , Qingquan Zhang, Chengpeng Hu, Jialin Liu, Xudong Feng, and Feng Wu.

      Simpler Is Sometimes Better: A Dynamic Aero-Engine Calibration Study.

      IEEE ICSI 2022, Accepted.
      [ cite ]
    6. Jialin Liu, Qingquan Zhang, Jiyuan Pei,

      Hao Tong

      , Xudong Feng, and Feng Wu. 2021.

      FSDE: Efficient Evolutionary Optimisation for Many-Objective Aero-Engine Calibration.

      Complex & Intelligent Systems. Springer Science and Business Media LLC. https://doi.org/10.1007/s40747-021-00374-1.
      [ cite ] [ link ] [pdf]
    7. Hao Tong

      , Jiyuan Pei, Qingquan Zhang, Jialin Liu, Xudong Feng, and Feng Wu.

      Learning boosts optimisation: Surrogate-assisted real engine calibration.

      In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, December 2021.
      [ cite ] [ link ] [ pdf ]
    8. Hao Tong

      , Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, and Xin Yao.

      A hybrid local search framework for the dynamic capacitated arc routing problem.

      In Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM, July 2021.
      [ cite ] [ link ] [ pdf ] [ code ]
    9. Hao Tong

      , Changwu Huang, Leandro L. Minku, and Xin Yao.

      Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study.

      Information Sciences, 562:414-437, July 2021.
      [ cite ] [ link ] [ pdf ] [ code ]
    10. Hao Tong

      , Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, and Xin Yao.

      Towards novel meta-heuristic algorithms for dynamic capacitated arc routing problems.

      In Parallel Problem Solving from Nature - PPSN XVI, pages 428-440. Springer International Publishing, 2020.
      [ cite ] [ link ] [ pdf ]
    11. Hao Tong

      , Changwu Huang, Jialin Liu, Xin Yao.

      Voronoi-based efficient surrogate-assisted evolutionary algorithm for very expensive problems.

      2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019.
      [ cite ] [ link ] [pdf] [ code ]
    12. Hao Tong

      , Jialin Liu, and Xin Yao.

      Algorithm portfolio for individual-based surrogate-assisted evolutionary algorithms.

      Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). 2019.
      [ cite ] [ link ] [pdf]
    13. Hao Tong

      , Shuyi Zhang, Changwu Huang, and Xin Yao.

      Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms.

      2019 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019.
      [ cite ] [ link ]