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The Optimization Development Model of Traditional Ethnic Sports under the Computer Intelligent Particle Swarm Algorithm

Zenan Xiong, Wei Xiong, Guojun Hong
College of Physical Education, Changsha University Changsha, Hunan, China., National Engineering Research Center of Dredging Shanghai, China.

Abstract: This study aims to use the computer-intelligent particle swarm algorithm to optimize the development model of traditional ethnic sports. By analyzing the characteristics and problems of the development of traditional ethnic sports, combined with the advantages of the particle swarm algorithm, an optimization model was constructed, and an empirical study was carried out. The model for applying the particle swarm algorithm to optimize the development of traditional ethnic sports was proposed. In the model construction, the development problems of traditional ethnic sports were transformed into an optimization problem. The model was solved using the particle swarm algorithmÃ¢â‚¬â„¢s search and optimization capabilities, and an optimal decision scheme was obtained. The computer-intelligent particle swarm algorithm can scientifically and effectively solve the problems faced by the development of traditional ethnic sports.

Keywords: Computer, Intelligent Particle Swarm Algorithm, Traditional Ethnic Sports The Optimization Development Model of Traditional Ethnic Sports under the Computer Intelligent Particle Swarm Algorithm

DOI:https://doi.org/10.6025/jitr/2024/15/1/14-20

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References:

[1] Sun, Y., He, D., Li, J. (2021). Research on the fatigue life prediction for a new modified asphalt mixture of a support vector machine based on particle swarm optimization. Applied Sciences, 11(24), 11867.
[2] Tao, P., Cui, M., Sun, L., et al. (2022). Research on Optimized Speed Limit Model to Improve the Cornering Ability of Intelligent Driving. In Proceedings of China SAE Congress 2021: Selected Papers (pp. 698-710). Singapore: Springer Nature Singapore.
[3] Takuya, S. (2021). Multilateral Biology for Snow Leopard Conservation Ecology Based on Research Evidences and Traditional Narratives. E-journal GEO, 16(2), 287-309.
[4] Wang, Y., Li, F., Dou, J. L. (2022). Research on the Evaluation Model of the Overall Benefit of the Nonlinear Rural Pension Based on Particle Swarm Optimization Algorithm: From the Perspective of Migrant Workers Returning. Mathematical Problems in Engineering, 2022.
[5] Cheng, P., Wang, J., Zeng, X., et al. (2021). Research on sensory comfort of tight-fitting sportswear based on intelligent models. Journal of Engineered Fibers and Fabrics, 16(1), 57- 62.
[6] Yang, B., Xie, H., Ye, K., et al. (2021). Analysis of intelligent test paper generation method for online examination based on UML and particle swarm optimization. International Journal of Information and Communication Technology, 18(3), 317-333.
[7] Li, Y., Lim, M. K., Wang, C. (2022). An intelligent model of green urban distribution in the blockchain environment. Resources, Conservation and Recycling, 176, 105925.
[8] Liu, H., Wang, Y. (2022). Research on Monitoring of Gymnastics Facilities and Intelligent Optimal Distribution of Gymnastics Venues Based on Internet of Things. Computational Intelligence and Neuroscience, 2022, 6164448.
[9] Sun, J., Yao, H.,Li, Z. (2023). Robust optimal investment strategy for a DC pension plan in the market with mispricing and constant elasticity of variance. Journal of Industrial and Management Optimization, 19(10), 7540-7564.

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