Yi Wenchao

Yi Wenchao

Associate Professor, Master Instructor

Zhejiang University of Technology, College of Mechanical Engineering

Biography

Dr. Wenchao Yi, Associate Professor, Institute of Industrial Engineering. In 2016-2017, she went to Nanyang Technological University, Singapore, for Postdoctoral research. And She joined the Department of Industrial Engineering and Logistics, School of Mechanical Engineering, Zhejiang University of Technology from 2018.

Educations

  • Postdoc. at Nanyang Technological University, Singapore, 2016-2017

  • Ph.D. in Industrial Engineering, Huazhong University of Science and Technology, China, 2011-2016

  • B.S. in Industrial Engineering, Huazhong University of Science and Technology, China, 2007-2011

Research Interests

  • Differential Evolution
  • Intelligent Algorithms
  • Intelligent Manufacturing

Courses

  • Intelligent optimization algorithm

Selected Publications

  1. Zhou, Yin-Zhi, et al. “Adaptive differential evolution with sorting crossover rate for continuous optimization problems." IEEE transactions on cybernetics 47.9 (2017): 2742-2753.
  2. Yi, Wenchao, et al. “An improved adaptive differential evolution algorithm for continuous optimization.” Expert Systems with Applications 44 (2016): 1-12.
  3. Yi, Wenchao, et al. “A new differential evolution algorithm with a hybrid mutation operator and self-adapting control parameters for global optimization problems." Applied Intelligence 42.4 (2015): 642-660.
  4. Gao, Liang, et al. “Multi-objective optimization based reverse strategy with differential evolution algorithm for constrained optimization problems." Expert Systems with Applications 42.14 (2015): 5976-5987.
  5. Yi, Wenchao, et al. “Engineering design optimization using an improved local search based epsilon differential evolution algorithm." Journal of Intelligent Manufacturing 29.7 (2018): 1559-1580.
  6. Yi, Wenchao, et al. “ε constrained differential evolution with pre-estimated comparison using gradient-based approximation for constrained optimization problems." Expert Systems with Applications 44 (2016): 37-49.
  7. Yi, Wenchao, Xinyu Li, and Baolin Pan. “Solving flexible job shop scheduling using an effective memetic algorithm." International Journal of Computer Applications in Technology 53.2 (2016): 157-163.
  8. Mou, Jianhui, et al. “An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems." Journal of Intelligent Manufacturing 29.4 (2018): 789-807.
  9. Yi, Wenchao, et al. “ε Constrained differential evolution using halfspace partition for optimization problems." Journal of Intelligent Manufacturing 32.1 (2021): 157-178.
  10. Zhou, Yinzhi, et al. “Analysis of mutation vectors selection mechanism in differential evolution." Applied Intelligence 44.4 (2016): 904-912.

Projects

  • Youth Fund of National Natural Science Foundation of China
  • Natural Science Foundation of Zhejiang Province Exploration Project
  • General Fund Project of Zhejiang Education Department

Correspondence

  • Laboratory: Room C510, Mechanical Engineering Building, Zhejiang University of technology
  • Address: Wenchao Yi, Zhejiang University of Technology, Pingfeng Campus , 288 Liuhe Rd., Xihu District, Hangzhou 310023, China