Yanfei Wu
Papers
1
Total Citations
12
H-Index
1
About
Dr. Yanfei Wu is a leading figure in the development of nature-inspired metaheuristic optimization algorithms. Her primary research focuses on enhancing the performance of bio-inspired computational methods, with a particular emphasis on the Flower Pollination Algorithm (FPA). Her most notable contribution is the introduction of a "Flower Pollination Optimization Algorithm Based on Cosine Cross-Generation Differential Evolution" (2023), which addresses critical limitations in the standard FPA by improving its global and local search capabilities. This work, which has already garnered 12 citations, demonstrates her ability to solve complex parameter sensitivity issues in heuristic optimization. Dr. Wu’s research is highly impactful for students and researchers in computational intelligence, offering more robust and efficient tools for solving real-world engineering and scientific optimization problems. Her innovative approach to hybridizing evolutionary strategies with swarm intelligence positions her as an emerging authority in the field, with her work serving as a key reference for those seeking to advance algorithm design and application.
Research Focus
Key Achievements
Top Papers
- 1