Abstract
The improved genetic algorithm is designed for the problem of data redundancy in genetic algorithms, and is combined with the least squares method to construct a computer mathematical model to cope with real-time changes in data. The results show that the improved genetic algorithm has high recognition ability and the ability to find the optimal solution, and improves the efficiency and quality of operation to a certain extent. The simulation results show that the computer mathematical model based on the improved genetic algorithm and the least square method greatly expands the search space and improves the operation efficiency.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Huang, L., Wang, Y., Zhang, L. (2023). Construction of a Mathematical Model Based on the Big Data Information Platform. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-031-23947-2_48
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DOI: https://doi.org/10.1007/978-3-031-23947-2_48
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