Yaxin Wei

Papers

Total Citations

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About

Yaxin Wei is a rising figure in computational optimization, best known for advancing metaheuristic algorithms to solve complex global optimization problems. Their most cited work, the 2024 paper "A Sinh–Cosh-Enhanced DBO Algorithm Applied to Global Optimization Problems" (22 citations), directly addresses critical limitations in the Dung Beetle Optimization (DBO) algorithm—specifically poor population initialization, slow search speed, and insufficient global exploration. By introducing a Sinh-Cosh mathematical enhancement, Wei significantly improved the algorithm's convergence speed and search robustness, offering a more efficient tool for engineering and scientific optimization tasks. This contribution has already garnered attention for its practical impact on algorithm design. Wei’s research focuses on refining nature-inspired optimization methods, pushing the boundaries of how these algorithms can be applied to real-world problems. Their work stands out for its clear problem-solving approach and measurable improvements, making it a valuable reference for students and researchers in computational intelligence and optimization.