Shengpu Li
Papers
1
Total Citations
4
H-Index
1
About
Shengpu Li is a researcher focused on optimization algorithms and intelligent scheduling systems, with particular expertise in improving the operational efficiency of automated facilities like stereo garages. His most cited work, "Access Craft Scheduling of Stereo Garage Based on Improved Hybrid Simulated Annealing Algorithm" (2021, 4 citations), introduces a novel approach that combines simulated annealing with hybrid techniques to optimize robot, transport, and elevator assignments in multi-level parking systems. By determining the best paths and scheduling sequences, Li’s algorithm significantly reduces access times and enhances throughput—a critical contribution to smart city infrastructure and logistics. This work demonstrates his ability to bridge theoretical algorithm design with practical engineering challenges. While his citation count is modest, the research holds clear applied value for industries seeking cost-effective automation solutions. Li’s contributions underscore a commitment to solving real-world congestion and efficiency problems, positioning him as a promising voice in the fields of operations research and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1