Journal of Intelligent Computing Ning Liu 5 4 2024 https://doi.org/10.6025/jic/2024/15/4/149-155 https://www.dline.info/jic/fulltext/v15n4/jicv15n4_5.pdf This paper introduces the application of the ant colony algorithm in university physical education teaching (such as physical exercises). It also provides new ideas and methods for optimizing the teaching mode through analysing its feasibility and inspiration. The ant colony algorithm is an algorithm based on the behavior characteristics of ants when searching for food, and it can be used to solve problems in university physical education teaching, such as selecting sports projects and evaluating students’ physical fitness. Its application can promote the informatization development of university physical education teaching and provide new ideas and methods for optimizing the teaching mode. Applying the ant colony algorithm brings new inspiration to university physical education teaching, helping students choose suitable sports projects and promoting the informatization development of university physical education teaching.