Research on the Application of Genetic Algorithm in Physical Education

University physical education is an important public basic course in colleges and universities. The traditional teaching is usually within the class time specified in the training program; the teacher teaches the students the basic physical education fundamentals so that the students can master the...

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Main Author: Haibo Wang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/8477945
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author Haibo Wang
author_facet Haibo Wang
author_sort Haibo Wang
collection DOAJ
description University physical education is an important public basic course in colleges and universities. The traditional teaching is usually within the class time specified in the training program; the teacher teaches the students the basic physical education fundamentals so that the students can master the basic skills of sports, thus improving the students’ sports level and physical quality. An improved genetic algorithm is proposed to reduce the problem of slow convergence and partial convergence of the fundamental genetic algorithm for intelligent grouping systems. To ensure the group’s stability and variety, the algorithm can rapidly extend the search space by repeatedly rejecting similar individuals. Therefore, this study proposes a new method of intelligent grouping based on the improved genetic algorithm. The new method can overcome the problem of premature convergence of the algorithm more efficiently and easily than the traditional algorithm. A large number of experiments have proved that the proposed algorithm meets all the requirements of physical education very well. The algorithm can automatically generate test papers with moderate difficulty and reasonable structure.
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spelling doaj-art-d431c57c3eac4f82b003cf4d9ff2d46b2025-08-20T03:23:46ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/8477945Research on the Application of Genetic Algorithm in Physical EducationHaibo Wang0Sports Department of Guilin University of Aerospace TechnologyUniversity physical education is an important public basic course in colleges and universities. The traditional teaching is usually within the class time specified in the training program; the teacher teaches the students the basic physical education fundamentals so that the students can master the basic skills of sports, thus improving the students’ sports level and physical quality. An improved genetic algorithm is proposed to reduce the problem of slow convergence and partial convergence of the fundamental genetic algorithm for intelligent grouping systems. To ensure the group’s stability and variety, the algorithm can rapidly extend the search space by repeatedly rejecting similar individuals. Therefore, this study proposes a new method of intelligent grouping based on the improved genetic algorithm. The new method can overcome the problem of premature convergence of the algorithm more efficiently and easily than the traditional algorithm. A large number of experiments have proved that the proposed algorithm meets all the requirements of physical education very well. The algorithm can automatically generate test papers with moderate difficulty and reasonable structure.http://dx.doi.org/10.1155/2022/8477945
spellingShingle Haibo Wang
Research on the Application of Genetic Algorithm in Physical Education
Journal of Mathematics
title Research on the Application of Genetic Algorithm in Physical Education
title_full Research on the Application of Genetic Algorithm in Physical Education
title_fullStr Research on the Application of Genetic Algorithm in Physical Education
title_full_unstemmed Research on the Application of Genetic Algorithm in Physical Education
title_short Research on the Application of Genetic Algorithm in Physical Education
title_sort research on the application of genetic algorithm in physical education
url http://dx.doi.org/10.1155/2022/8477945
work_keys_str_mv AT haibowang researchontheapplicationofgeneticalgorithminphysicaleducation