Wan‐Huan Zhou
Papers
1
Total Citations
4
H-Index
1
About
Dr. Wan‐Huan Zhou is a researcher focused on intelligent scheduling and optimization in automated systems, with a particular emphasis on stereo garage operations and robotic coordination. Their major contribution lies in developing the Improved Hybrid Simulated Annealing Algorithm, a novel approach that optimizes access craft scheduling by determining the most efficient allocation of robots, transporters, and elevators within stereo garages. This work addresses critical challenges in urban parking systems, enhancing throughput and reducing wait times through optimal pathfinding and scheduling. The 2021 paper on this algorithm, which has garnered 4 citations, demonstrates foundational impact in the field of automated logistics and smart infrastructure. Dr. Zhou’s research bridges operational research and practical engineering, offering scalable solutions for space-constrained environments. Their work is particularly notable for integrating simulated annealing with hybrid techniques to tackle real-world combinatorial optimization problems, making it a valuable reference for students and researchers exploring intelligent transportation systems, robotics, and algorithm design.
Research Focus
Key Achievements
Top Papers
- 1