The Guidance of Mountain Climbing Algorithm on the Effect of Dance Teaching

The guidance used in teaching effect has a significant impact; however, there is a problem with incorrect placement of the information. The typical ant colony algorithm does not address the problem of guidance in teaching the dance effect and the guidance does not work perfectly. In this way, this work assesses the effects of dance teaching and recommends guidance for dance teaching, guided by the Mountain Climbing Algorithm. First, the influencing elements are found using the function optimization theory to reduce the interference in teaching effect guidance. Based on what the teaching effect guidance requires, indicators are divided into different groups. Next, a teaching effect guiding scheme for the Mountain Climbing Algorithm is developed using the function optimization theory, and the teaching effect guidance outcomes are thoroughly examined. According to some evaluation standards, the Mountain Climbing method outperforms the conventional ant colony method in terms of teaching impact guidance time and accuracy, as demonstrated by the results of the MATLAB simulation.