@article{4489,
  author = {Lingxiu Sun, Mao Rui},
  title = {Application Research on Improved Particle Swarm Computational Intelligence Algorithm for Multi-objective Optimization in Education},
  journal = {Journal of E-Technology},
  year = {2025},
  volume = {16},
  number = {2},
  doi = {https://doi.org/10.6025/jet/2025/16/2/72-79},
  url = {https://www.dline.info/jet/fulltext/v16n2/jetv16n2_4.pdf},
  abstract = {In today's world, optimization problems are becoming increasingly prominent, and the progress in optimization technologies can not only bring considerable economic benefits but also highlight their outstanding social value, making significant contributions to the sustainable development of the ecological environment. Due to their educational positioning and disciplinary development needs, local application-oriented universities tend to overlook the optimization and development of theory courses in their growth, leading to lagging reforms in education and suboptimal teaching outcomes. To enhance the teaching effects of courses in local applicationoriented universities, it is essential to scientifically design class contents, actively carry out practical teaching, adapt to the needs of the times, build an "Internet + Courses" online teaching platform, and continuously innovate teaching modes of courses.},
}