Yuxiang Hou

Papers

Total Citations

201

H-Index

About

Yuxiang Hou is a researcher specializing in mobile robot path planning and meta-heuristic optimization algorithms. His most significant contribution is the development of an improved Grey Wolf Optimizer (GWO), published in 2022, which has garnered 195 citations. This work addresses critical limitations in the standard GWO—namely instability and poor convergence accuracy—by introducing chaotic tent mapping for population initialization, thereby enhancing the algorithm’s ability to find optimal paths for mobile robots. Hou’s research directly impacts autonomous navigation, offering more reliable and efficient solutions for real-world robotic systems. Additionally, he has explored path planning through an improved A* algorithm, further demonstrating his focus on practical, computationally efficient approaches. With a citation count nearing 200 for his flagship work, Hou’s contributions are recognized as valuable advancements in the field of robotics and optimization, making his research a key reference for scholars working on intelligent navigation and swarm intelligence.