Papers
1
Total Citations
6
H-Index
1
About
Yansong Cui is a rising researcher in the field of computational intelligence and metaheuristic optimization, with a focus on enhancing the performance of nature-inspired algorithms. Their 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 variant of the Grey Wolf Optimizer (GWO). This work addresses critical limitations in GWO, such as slow convergence and poor solution accuracy, by introducing a dynamic adaptation mechanism that significantly improves the algorithm’s exploration and exploitation balance. The paper, published in 2024, has already garnered 6 citations, reflecting its early impact and relevance in the optimization community. Cui’s research is particularly valuable for students and practitioners seeking efficient, adaptive solutions for complex engineering and scientific problems. By bridging theoretical algorithm design with practical performance enhancements, Yansong Cui is establishing a strong foundation for future innovations in swarm intelligence and computational optimization.
Research Focus
Key Achievements
Top Papers
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