@article{4370,
  author = {Zenan Xiong,Wei Xiong,Guojun Hong},
  title = {The Optimization Development Model of Traditional Ethnic Sports with the Intelligent Particle Swarm Algorithm},
  journal = {Journal of Intelligent Computing},
  year = {2025},
  volume = {16},
  number = {1},
  doi = {https://doi.org/10.6025/jic/2025/16/1/1-9},
  url = {https://www.dline.info/jic/fulltext/v16n1/jicv16n1_1.pdf},
  abstract = {This study aims to use the intelligent particle swarm algorithm to optimize the development model of traditional
ethnic sports. By analyzing the characteristics and problems of the development of conventional ethnic sports,
combined with the advantages of the particle swarm algorithm, an optimization model was constructed, and
an empirical study was carried out. The model for applying the particle swarm algorithm to optimize the
development of traditional ethnic sports was proposed. In the model construction, the development problems
of traditional ethnic sports were transformed into an optimization problem. Using the particle swarm
algorithm’s search and optimization capabilities, the model was solved and the optimal decision scheme was
obtained. The intelligent particle swarm algorithm can scientifically and effectively solve the problems faced
by the development of traditional ethnic sports.},
}