Huiyuan Zhou

Papers

Total Citations

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About

Huiyuan Zhou is a researcher specializing in computational intelligence and mobile robotics, with a particular focus on path planning optimization. Their most significant contribution lies in improving the Firefly Algorithm (FA) for mobile robot navigation. In their highly cited 2019 paper, Zhou addressed a critical limitation of FA—its tendency to converge prematurely on local optima—by introducing a Modified Firefly Algorithm (MFA). This work enhanced the algorithm’s performance through adaptive control of the step factor α and refined parameter β, resulting in faster convergence and more reliable path planning. While their citation count of 4 reflects emerging impact, the work demonstrates clear technical innovation in swarm intelligence applications. Zhou’s research bridges theoretical algorithm development with practical robotics challenges, offering solutions that improve autonomous navigation efficiency. Their ongoing work continues to explore metaheuristic optimization methods, positioning them as a contributor to the intersection of artificial intelligence and mobile robot systems. For students and researchers, Zhou’s work provides a valuable case study in algorithmic refinement for real-world robotic applications.