Tianen Li

Profile

I am a master's student in Robotics Engineering at Xijing University, with a computer science background. My research focuses on intelligent optimization for complex scheduling problems, especially flexible job shop scheduling, multi-AGV coordination, evolutionary computation, and deep reinforcement learning. I am interested in developing learning-assisted and LLM-assisted optimization algorithms for practical operations research applications.

Research Interests

Multi-objective optimization, evolutionary computation, deep reinforcement learning, shop scheduling, LLM-based automated algorithm design, operations research optimization

Education

• Xijing University - Robotics Engineering - M.S.

  2024-09 - 2026-12

• Henan University of Technology - Computer Science and Technology - B.S.

  2020-09 - 2024-06

Publications

1. T. Li, K. Chen, X. Shi, et al. A dual-population memetic algorithm based on a producer-consumer paradigm for energy-aware dynamic flexible job shop scheduling with AGVs[J]. Expert Systems with Applications, 2026, 319: 132032. DOI: 10.1016/j.eswa.2026.132032.

2. T. Li, K. Chen, X. Shi, et al. A deep Q-network enhanced variable neighborhood search algorithm based on NSGA-II for the multi-AGV flexible job shop scheduling problem with battery constraint[J]. Computers & Operations Research, 2026, 192: 107500. DOI: 10.1016/j.cor.2026.107500.