周磊 2019届

test 3,377

个人主页：无

研究方向：Computatioanl Intelligence, Evolutionary Multitasking, Memetic Computing

论文成果：

  1. L. Feng, L. Zhou, J. Zhong, A. Gupta, Yew-Soon Ong, Kay Chen Tan and A. K. Qin, Evolutionary Multi-tasking via Explicit Autoencoding, IEEE Transactions on Cybernetics, accepted, 2018.
  2. Lei Zhou, L. Feng, J. Zhong, Z. Zhu, B. Da and Z. Wu, A Study of Similarity Measure Between Tasks for Multifactorial Evolutionary Algorithm, In Proceedings of the Genetic and Evolutionary Computation Conference 2018 (GECCO ’18), 2018.
  3. R. Ma, L. Zhou, K. Liu, C. Chen and X. Xie, Autoencoding Evolutionary Search with Selection of Problem Domains. IEEE Congress on Evolutionary Computation (IEEE WCCI-CEC’18), Rio de Janeiro, Brazil, December 4-8, 2018.
  4. Lei Zhou, L. Feng, A. Gupta, Y.-S. Ong, K. Liu, C. Chen, E. Sha, B. Yang and B. W. Yan, “Solving Dynamic Vehicle Routing Problem via Evolutionary Search with Learning Capability”, IEEE Congress on Evolutionary Computation, Spain, June 5-8, 2017.
  5. L. Feng, W. Zhou, Lei Zhou, S. W. Jiang, J. H. Zhong, B. S. Da, Z. X. Zhu, and Y. Wang, “An Empirical Study of Multifactorial PSO and Multifactorial DE”, IEEE Congress on Evolutionary Computation, Spain, June 5-8, 2017.
  6. Lei Zhou, L. Feng, J. Zhong, Y. -S. Ong, Z. Zhu, E. Sha, “Evolutionary Multitasking in Combinatorial Search Spaces: A Case Study in Capacitated Vehicle Routing Problem”, The 2016 IEEE Symposium Series on Computational Intelligence, 2016.

参与项目：

  1. 国家自然科学基金青年基金，“基于迁移学习和模因计算的智能交通路径规划研究”。
  2. 中央高校基础前沿交叉项目，“基于迁移学习和模因计算的智能交通路径规划研究”。
  3. 重庆市科技计划项目基础科学与前沿技术研究专项一般项目，“基于数据挖掘和模式识别的智能交通路径规划研究”。

交流学习：
2018.07 沈阳 中国过程控制会议（CPCC）
2018.05 广州 演化计算与学习研讨会（ECOLE）
2017.06 ? 西班牙 IEEE Congress on Evolutionary Computation