Jingxi Yi
Papers
1
Total Citations
6
H-Index
1
About
Jingxi Yi is a researcher whose work sits at the intersection of computational intelligence, social network dynamics, and emergency management. Their most recognized contribution is a novel two-layer artificial fish swarm evacuation model, introduced in a 2022 paper that has garnered 6 citations. This model innovatively applies heterogeneous pheromones to simulate human behavior during crises, drawing on the preying, swarming, and following behaviors of fish schools to represent evacuee movement. By leveraging the positive feedback mechanisms of swarm intelligence, Yi’s approach offers a more organic and adaptive framework for emergency evacuation planning within social networks, moving beyond traditional, rigid models. This work not only demonstrates a creative synthesis of bio-inspired algorithms and real-world social systems but also provides a scalable tool for improving crowd safety and response strategies. Yi’s research is particularly valuable for students and researchers in computational social science and disaster management, showcasing how nature-inspired algorithms can address pressing human challenges.
Research Focus
Key Achievements
Top Papers
- 1