@article{3949,
  author = {Lingxiu Sun, Mao Rui},
  title = {Application Research on Improved Particle Swarm Computational Intelligence Algorithm for Multiobjective Optimization},
  journal = {Journal of Information Technology Review},
  year = {2023},
  volume = {15},
  number = {1},
  doi = {https://doi.org/10.6025/jitr/2024/15/1/1-6},
  url = {https://www.dline.info/jitr/fulltext/v15n1/jitrv15n1_1.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 ideological and political theory courses in their growth, leading to lagging reforms in ideological and political education and suboptimal teaching outcomes. To enhance the teaching effects in local application-oriented 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.},
}