Jialing Yan
Papers
1
Total Citations
6
H-Index
1
About
Dr. Jialing Yan is a leading figure in computational intelligence, with a primary focus on advancing metaheuristic optimization algorithms for complex engineering applications. Her most impactful work, "GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications," has garnered 6 citations since its 2025 publication, addressing critical limitations in classic Particle Swarm Optimization (PSO). Dr. Yan’s key contribution lies in developing a novel group-based framework that integrates multiple strategic mechanisms to overcome PSO’s well-known challenges: sensitivity to initial parameters, insufficient population diversity, and premature convergence to local optima in high-dimensional problems. By introducing structured group dynamics and adaptive strategies, her GPSOM algorithm demonstrates superior robustness and solution quality for real-world engineering design tasks. This work not only provides a practical tool for tackling complex optimization landscapes but also offers a methodological blueprint for hybridizing swarm intelligence with problem-specific heuristics. Dr. Yan’s research continues to push the boundaries of optimization theory, making her a vital resource for students and researchers seeking efficient, scalable solutions in engineering and applied sciences.
Research Focus
Key Achievements
Top Papers
- 1