Ethnic music heritage in college piano teaching based on adaptive differential evolutionary algorithm

被引：0

作者：

Shi S. ^{[1
]}

机构：

[1] Conservatory of Music, Philippine Women’s University, Manila

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Adaptive differencing; Diversity index; Ethnic music heritage; Piano teaching; Variance vector;

D O I：

10.2478/amns.2023.2.00735

中图分类号：

学科分类号：

摘要：

This paper uses an adaptive differential evolution algorithm to handle multiple conflicting optimization objectives by randomly generating uniformly distributed values corresponding to the upper and lower bounds so that the variance vectors are crossed over. A diversity metric measures the degree of uniformity of distribution between solutions, using a pre-given interval of static variables and introducing a special differential mutation pattern for iteration. The highest value of the adaptive differential evolution algorithm piano performance time was 13.5 s, and the highest value of the teaching quality situation was 0.864. With the adaptive differential evolution algorithm, the piano teaching content can be enhanced, students' interest in folk music can be nurtured, and folk music can be inherited and promoted. © 2023 Shanshan Shi, published by Sciendo.

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