研究助理教授 计算机科学与工程系   课题组网站

黄长武,博士,南方科技大学计算机科学与工程系研究助理教授,硕士生导师。2010年获西南交通大学学士学位,2013年获北京交通大学硕士学位,2018年获法国(鲁昂)国立应用科学学院博士学位(国家建设高水平大学公派研究生)。2018年3月至2020年9月在南方科技大学计算机科学与工程系姚新教授课题组从事博士后研究。主要研究方向包括:可信人工智能、演化计算、机器学习、自动算法配置、路径规划等。

个人简介

研究领域

可信人工智能、演化计算、机器学习、自动算法配置、路径规划等。


学术成果 查看更多

  • C. Huang, L. Li, C. He, R. Cheng, and X. Yao, “Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation,” Memetic Computing, vol. 14, no. 2, pp. 237–251, May 2022.
  • C. Huang, H. Bai, and X. Yao, “Online algorithm configuration for differential evolution algorithm,” Applied Intelligence, vol. 52, no. 8, pp. 9193–9211, Jan. 2022.
  • H. Tong, C. Huang, L. L. Minku, and X. Yao, “Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study,” Information Sciences, vol. 562, pp. 414–437, Jul. 2021.
  • H. Bai, C. Huang, and X. Yao, “Adaptive Differential Evolution based on Exploration and Exploitation Control,” 2021 IEEE Congress on Evolutionary Computation (CEC), Jun. 2021.
  • C. Huang, L. Li, C. He, R. Cheng, and X. Yao, “Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation,” Evolutionary Multi-Criterion Optimization, pp. 672–683, 2021.
  • C. Huang, Y. Li and X. Yao, “Online Parameter Tuned SAHiD Algorithm for Capacitated Arc Routing Problems,” 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 2020, pp. 1-8
  • H. Bai, D. Lemosse, Y. Aoues, J. Cherfils, and C. Huang, “A Probabilistic Approach In Long-Term Fatigue Analysis Of Onshore Wind Turbine Tower,” 14th WCCM-ECCOMAS Congress, 2021.
  • C. Huang, Y. Li, and X. Yao, “A Survey of Automatic Parameter Tuning Methods for Metaheuristics,” IEEE Transactions on Evolutionary Computation, vol. 24, no. 2, pp. 201–216, Apr. 2020.
  • C. Huang, Y. Li and X. Yao, “Adaptive-SAHiD Algorithm for Capacitated Arc Routing Problems,” 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, pp. 1668-1675, Dec. 2019.
  • H. Tong, S. Zhang, C. Huang and X. Yao, “Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms,” 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, pp. 1849-1856, Dec. 2019.
  • C. Huang, B. Yuan, Y. Li and X. Yao, “Automatic Parameter Tuning using Bayesian Optimization Method,” 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, pp. 2090-2097, Jun. 2019.
  • H. Tong, C. Huang, J. Liu and X. Yao, “Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems,” 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, pp. 1996-2003, Jun. 2019.
  • C. Huang, B. Radi, A. El Hami, and H. Bai, “CMA evolution strategy assisted by kriging model and approximate ranking,” Applied Intelligence, vol. 48, no. 11, pp. 4288–4304, Jun. 2018.
  • C. Huang, A. El Hami, and B. Radi, “Metamodel-based inverse method for parameter identification: elastic–plastic damage model,” Engineering Optimization, vol. 49, no. 4, pp. 633–653, Jul. 2016.
  • C. Huang, B. Radi, and A. E. Hami, “Uncertainty analysis of deep drawing using surrogate model based probabilistic method,” The International Journal of Advanced Manufacturing Technology, vol. 86, no. 9–12, pp. 3229–3240, Feb. 2016.

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