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Research on Optimization Design of Physical Education Curriculum Structure Based on Genetic Algorithm

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11 nov. 2024
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Yang, H. (2022). Optimization of Physical Education Model Based on Cluster Analysis in the Context of Big Data. Mobile Information Systems, 2022(1), 1293676. Search in Google Scholar

Liu, L., & Li, F. (2017). The way to deepen reform of school physical education in the background of “Healthy China”. Eurasia Journal of Mathematics, Science and Technology Education, 13(10), 6545-6553. Search in Google Scholar

Zhang, L., & Yang, X. (2023, August). Evaluation of Physical Education Teaching Quality Based on Optimized Apriori Algorithm. In EAI International Conference, BigIoT-EDU (pp. 143-153). Cham: Springer Nature Switzerland. Search in Google Scholar

McTighe, J., & Brown, P. (2020). Standards are not curriculum. Science and Children, 58(1), 76-81. Search in Google Scholar

Sukhomlin, V., & Zubareva, E. (2018, November). Analytical Review of the Current Curriculum Standards in Information Technologies. In International Conference on Modern Information Technology and IT Education (pp. 3-41). Cham: Springer International Publishing. Search in Google Scholar

Alvunger, D. (2021). Curriculum making and knowledge conceptions in classrooms in the context of standards‐based curricula. The Curriculum Journal, 32(4), 607-625. Search in Google Scholar

Sundberg, D., & Wahlström, N. (2017). From transnational curriculum standards to classroom practices: The new meaning of teaching. In Transnational Curriculum Standards and Classroom Practices (pp. 133-150). Routledge. Search in Google Scholar

Sheng, X., Lan, K., Jiang, X., & Yang, J. (2023). Adaptive curriculum sequencing and education management system via Group-Theoretic Particle Swarm Optimization. Systems, 11(1), 34. Search in Google Scholar

Kong, Y., Wang, W., & Rajabov, B. (2024). New model of college physical education teaching based on the algorithm and data structure of flipped classroom and OBE. Heliyon, 10(11). Search in Google Scholar

Murtadho, F., Farmadi, A., Nugrahadi, D. T., Budiman, I., & Kartini, D. (2021). Implementation of Genetic Algorithm with Tournament Selection for Course Schedules. Journal of Data Science and Software Engineering, 2(01), 24-35. Search in Google Scholar

Nugroho, A. K., Permadi, I., & Yasifa, A. R. (2022). Optimizing course scheduling faculty of engineering unsoed using genetic algorithms. JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer), 7(2), 91-98. Search in Google Scholar

Fedorchenko, I., Oliinyk, A., Zaiko, T., Miedviediev, K., Fedorchenko, Y., & Khokhlov, M. (2023). Development of a modified genetic method for automatic university scheduling. In CS&SE@ SW (pp. 210-222). Search in Google Scholar

Benmesbah, O., Lamia, M., & Hafidi, M. (2021). A novel genetic algorithm for curriculum sequence optimization. Intelligent Decision Technologies, 15(3), 469-485. Search in Google Scholar

Nguyen, T. S., Duong, H. T., & Nguyen, K. D. (2021, December). Automatic generation of course schedules using genetic algorithm. In International Conference on Artificial Intelligence and Big Data in Digital Era (pp. 37-45). Cham: Springer International Publishing. Search in Google Scholar

Nasien, D., & Andi, A. (2022). Optimization of Genetic Algorithm in Courses Scheduling. IT Journal Research and Development, 6(2), 151-161. Search in Google Scholar

Li, M., & Zhong, J. (2022). Elements and Overall Optimization of University Self‐Organizing Physical Education Teaching System Based on Holistic Theory. Scientific Programming, 2022(1), 9410347. Search in Google Scholar

Li, C., Liu, B., & Kim, K. (2023). Intelligent unsupervised learning method of physical education image resources based on genetic algorithm. Neural Computing and Applications, 35(6), 4225-4242. Search in Google Scholar

Liu, C., & Yang, N. (2024, May). Research on the Application of Improved Genetic Algorithm Based on Physical Education Teaching. In Proceedings of the 2024 International Conference on Computer and Multimedia Technology (pp. 467-472). Search in Google Scholar

Chen, X., Yue, X. G., Li, R., Zhumadillayeva, A., & Liu, R. (2021). Design and application of an improved genetic algorithm to a class scheduling system. International Journal of Emerging Technologies in Learning (iJET), 16(1), 44-59. Search in Google Scholar

Xiaohua Li. (2024). Optimization Design of Physical Education Curriculum Resources for “Sports Physiology” in Universities Based on Digital Perspective. Journal of Human Movement Science(2). Search in Google Scholar

Junwei Guo,Yanqiu Huang,Zhiyuan Li,Jiarun Li,Chuang Jiang & Yaru Chen. (2024). Performance prediction and optimization of lateral exhaust hood based on back propagation neural network and genetic algorithm. Sustainable Cities and Society105696-105696. Search in Google Scholar

Kaimiao Zhou,Ze Zhang,Kunyu Deng,Liang Chen,Shuangtao Chen & Yu Hou. (2024). Genetic algorithm based optimization of nozzle profiles for a hydrogen turbo-expander. Cryogenics103920-103920. Search in Google Scholar

Pratama Muhammad Yandi,Trihutomo Prihanto & Suprayitno Suprayitno. (2024). Muffler Design for Noise Reduction and Pressure Loss Optimization Using Multiobjective Genetic Algorithm. Engineering Innovations63-68. Search in Google Scholar