@article{4332,
  author = {Miaomiao Fan},
  title = {Genetic Algorithm Model for Information Security Communication},
  journal = {Information Security Education Journal},
  year = {2024},
  volume = {11},
  number = {2},
  doi = {https://doi.org/10.6025/isej/2024/11/2/44-51},
  url = {https://www.dline.info/isej/fulltext/v11n2/isejv11n2_2.pdf},
  abstract = {With the increase in the scale and complexity of information communication networks,
the security of communication networks has become increasingly prominent,
making it a key research direction in communication network studies. In this
paper, a mathematical model for information communication is constructed, and a
genetic algorithm is introduced for model optimization. Experimental results show
that the genetic algorithm effectively enhances network reliability and significantly
reduces link costs. In the application experiments, this model can analyze the advantages
of different optimization paths and select the optimal solution based on
actual conditions, ensuring both network reliability and economy, and increasing
overall satisfaction with the network},
}