@article{4376,
  author = {Ying Zhang},
  title = {Internet Technology and Interaction Design in Intelligent Toy Products with the Internet of Things Architecture},
  journal = {International Journal of Web Applications},
  year = {2025},
  volume = {17},
  number = {1},
  doi = {https://doi.org/10.6025/ijwa/2025/17/1/19-30},
  url = {https://www.dline.info/ijwa/fulltext/v17n1/ijwav17n1_3.pdf},
  abstract = {Smart toys are a specific application of modern intelligent technology. Using modern Internet technology to
realize the educational function of toys is an important research direction of modern intelligent toys. To combine
smart toys with Chinese cultural education and apply virtual experience and interaction design to the teaching
process, the virtual experience and interaction design of cultural education in intelligent toy products is studied
under the Internet of Things (IoT) architecture. Two interactive genetic algorithm application models are
established based on composite fitness allocation strategy (HFAS) and hierarchical fitness allocation strategy.
The parameter settings of the composite fitness allocation strategy are analyzed, and the optimal allocation
strategy for hybrid fitness is selected. The scheme and the design of intelligent toy products explore the intelligent
vehicle design artificial intelligence case applied by the interactive genetic algorithm in the cultural education
of intelligent toy products. It can be seen from the algorithm test in the text that for the designer of the smart
bowl fern. Through the evolutionary iteration of the feature line, each generation of offspring population can
produce five individuals while having less impact on the next generation, can make better individuals, and the
design results can better meet customer needs.},
}