Jiayu Zhao

Beijing University of Posts and Telecommunications, Wuhan University of Technology

Papers

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About

Jiayu Zhao is an emerging researcher in computational intelligence and autonomous systems, whose work bridges optimization algorithms and real-world robotic applications. Their key research areas include metaheuristic optimization, swarm intelligence, edge computing, and collaborative robotics. Zhao’s most notable contribution is the development of the Adaptive Grey Wolf Optimizer based on Transfer function Inertia Weight of Second-order High-pass Filter (SAGWO), a novel algorithm that significantly improves the convergence speed and solution accuracy of the classic Grey Wolf Optimizer. This work, published in 2024, has already garnered 6 citations, reflecting its growing impact in the optimization community. In parallel, Zhao’s 2020 study on a Collaborative Search and Rescue System for Photovoltaic Mobile Robots, based on an edge computing framework, addresses critical challenges in emergency response. By enabling mobile robots to conduct joint searches in unknown environments, this work enhances rescue efficiency and safety, earning another 6 citations. Together, these contributions demonstrate Zhao’s ability to translate theoretical advances in swarm intelligence into practical, life-saving technologies. Their research is particularly relevant for students and researchers interested in adaptive algorithms, autonomous robotics, and the integration of edge computing in field operations.