Guohong Yi

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About

Guohong Yi is a researcher focused on intelligent scheduling and optimization in automated systems, particularly within the domain of stereo garages and robotic logistics. Their key research areas include algorithm design, combinatorial optimization, and the application of metaheuristic methods to real-world engineering problems. Yi’s major contribution lies in developing the Improved Hybrid Simulated Annealing Algorithm, which integrates simulated annealing with other optimization techniques to efficiently solve complex scheduling tasks. This work, detailed in their 2021 paper "Access Craft Scheduling of Stereo Garage Based on Improved Hybrid Simulated Annealing Algorithm," addresses the challenge of coordinating multiple robots, transport units, and elevators to minimize access times and find optimal paths in stereo garage systems. While still early in its citation impact, with 4 citations to date, the research demonstrates practical relevance for improving urban parking efficiency and automated warehouse operations. Yi’s work represents a meaningful step toward smarter, more responsive infrastructure, offering a foundation for future studies in intelligent scheduling and resource allocation.