Jingzhong Fang
Papers
1
Total Citations
107
H-Index
1
About
Jingzhong Fang is a leading researcher in computational intelligence, with a primary focus on metaheuristic optimization algorithms and their real-world applications. His most impactful work centers on particle swarm optimization (PSO), where he has made significant contributions to understanding and advancing this popular heuristic method. Fang’s landmark 2023 survey, which has already garnered 107 citations, provides a comprehensive and up-to-date overview of original PSO algorithms, their variants, and emerging trends. This work serves as an essential resource for researchers and practitioners, systematically mapping the evolution of PSO techniques and their effectiveness across diverse optimization problems. By synthesizing decades of development and highlighting practical applications, Fang has helped bridge the gap between theoretical algorithm design and industrial deployment. His research not only clarifies the current state of PSO but also identifies promising directions for future innovation, making him a key figure in the ongoing advancement of swarm intelligence and heuristic optimization.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Algorithms, Applications and Trends for Particle Swarm Optimization107 citations · 2023