中学生健身计划优化遗传算法模型的构建

Weibo Zhou
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引用次数: 1

摘要

遗传算法是模拟生物进化,为事物发展提供最佳判断的重要数学模型之一。广泛应用于工程建设、医疗诊断、经济管理、日常管理等诸多领域。因此,本文研究了基于遗传算法模型的中学生健身跑步优化方案。介绍了遗传算法模型的主要过程和结构。在分析模型结构的基础上,提出了改进遗传算法的方法。在互联网、大数据、计算机信息技术和人工智能快速发展的背景下,引入改进算法,建立优化遗传算法模型,使健身跑步优化方案更具针对性和有效性。最后,通过遗传算法对适应度跑步优化方案进行了测试和验证,从而证明该研究具有良好的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of Genetic Algorithm Model for Fitness Program Optimization of Middle School Students
Genetic algorithm is one of the most important mathematical models to simulate biological evolution and recommend the best judgment for the development of things. It is widely used in many fields, such as engineering construction, medical diagnosis, economic management, daily management and so on. Therefore, the fitness running optimization program of middle school students based on genetic algorithm model was studied in this paper. The main process and structure of the genetic algorithm model were described. Based on the analysis of the model structure, the method of improving the genetic algorithm was proposed. Under the background of the rapid development of the Internet, big data, computer information technology and artificial intelligence, the improved algorithm was introduced to establish the optimized genetic algorithm model, so as to promote the fitness running optimization program more targeted and effective. Finally, the fitness running optimization scheme was tested and verified by genetic algorithm, so as to prove that the research has good practicability.
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