Yaxing Wei
Papers
1
Total Citations
12
H-Index
1
About
Dr. Yaxing Wei is a leading researcher in computational intelligence and optimization algorithms, with a primary focus on enhancing heuristic methods for complex problem-solving. His most notable contribution is the development of a "Flower Pollination Optimization Algorithm Based on Cosine Cross-Generation Differential Evolution" (2023), which addresses critical limitations in the standard Flower Pollination Algorithm (FPA) by improving its global and local search capabilities through adaptive parameter control. This work, which has garnered 12 citations, demonstrates his expertise in evolutionary computation and metaheuristic optimization. Dr. Wei’s research is particularly impactful in advancing the efficiency and robustness of nature-inspired algorithms, making them more applicable to real-world engineering and scientific challenges. His innovative approach to hybridizing differential evolution with FPA has opened new pathways for solving high-dimensional and multi-modal optimization problems. Through his rigorous work, Dr. Wei continues to contribute to the growing field of swarm intelligence, offering practical solutions that bridge theoretical advancements with applied optimization needs.
Research Focus
Key Achievements
Top Papers
- 1