Enhancing Students' Physical Fitness Through Optimized Training based on Genetic Algorithm

Abstract

With good physical fitness, people can put more energy into their daily life, study and work. Enhancing people's physical fitness is an important foundation in the modernization of our country's socialism. The physical fitness of students has always been the primary concern of colleges and universities. To improve the basic physical ability of students, students can get a significant improvement in their own physical level to ensure the successful completion of their academic career. The data collection terminal is installed around the campus road, the campus card is carried by the students, and the wireless module with small suction cup antenna is installed on the base station and each collection terminal to form a wireless communication between the base station and the collection terminal and between the collection terminal and the campus card. The base station is connected to the Web server through a wired network. In this paper, from the current realistic needs of students' preparation for physical education tests, the physical fitness training methods and means with more obvious effects in competitive training are introduced into physical education, the methods and means of physical fitness training are preferably selected, and the training load is reasonably arranged, and the experimental results prove that the optimized physical fitness training methods and means of genetic algorithm have novel equipment, practice methods The experimental results proved that the optimized genetic algorithm physical training method and means have novel equipment, diverse and interesting exercises, focus on developing coordination quality and mobilizing more muscle fibers and muscle groups to participate in sports, which can stimulate students' interest and emphasize the reasonable use of technical movements, and enhance students' physical fitness by controlling the training intensity and interval time.