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<p>In order to conform to the development of the times and effectively promote the reform of vocal music education in colleges and universities, this paper proposes an innovative path of diversified vocal music education reform in colleges and universities under the modern advanced educational concepts that are steadily gaining utilisation and popular acceptance in China and the West. In this paper, the passive collective behaviour of biology is introduced in the teacher stage in the basic TLBO algorithm, and then the feedback stage is added after the student stage to increase the effectiveness of students’ learning methods, maintain the diversity of students and make available a system the deployment of which would swiftly bring students with poor grades to the attention of teachers; to this end, the algorithm is made to perform a local fine search, and the optimisation accuracy of the algorithm and its global search ability are improved. Finally, based on the numerical simulation of the standard test set and compared with the existing optimised TLOB algorithm, it is concluded that 92% of the solutions in the ETLBO are dominated or not dominated by the solutions in the non-dominated solution set of the optimised TLBO, while only 2% of the solutions in the non-dominated solution set of the optimised ETLBO are dominated by the non-dominated solutions of the TLBO. Centralised solutions dominate or do not dominate each other. It is concluded that the optimised TLBO algorithm has the best solution ability and also has practical application significance.</p>
</abstract>

In order to conform to the development of the times and effectively promote the reform of vocal music education in colleges and universities, this paper proposes an innovative path of diversified vocal music education reform in colleges and universities under the modern advanced educational concepts that are steadily gaining utilisation and popular acceptance in China and the West. In this paper, the passive collective behaviour of biology is introduced in the teacher stage in the basic TLBO algorithm, and then the feedback stage is added after the student stage to increase the effectiveness of students’ learning methods, maintain the diversity of students and make available a system the deployment of which would swiftly bring students with poor grades to the attention of teachers; to this end, the algorithm is made to perform a local fine search, and the optimisation accuracy of the algorithm and its global search ability are improved. Finally, based on the numerical simulation of the standard test set and compared with the existing optimised TLOB algorithm, it is concluded that 92% of the solutions in the ETLBO are dominated or not dominated by the solutions in the non-dominated solution set of the optimised TLBO, while only 2% of the solutions in the non-dominated solution set of the optimised ETLBO are dominated by the non-dominated solutions of the TLBO. Centralised solutions dominate or do not dominate each other. It is concluded that the optimised TLBO algorithm has the best solution ability and also has practical application significance.

The innovative path of diversified vocal music education reform in colleges and universities under the advanced educational concepts of China and the West

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In order to conform to the development of the times and effectively promote the reform of vocal music education in colleges and universities, this paper...

The innovative path of diversified vocal music education reform in colleges and universities under the advanced educational concepts of China and the West

Online veröffentlicht: 23. Dez. 2022

Seitenbereich: -

Eingereicht: 19. Juli 2022

Akzeptiert: 07. Sept. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00296

Schlüsselwörter
TLOB, passive set, optimisation precision, fine search, vocal music education

© 2024 Yan Hu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The innovative path of diversified vocal music education reform in colleges and universities under the advanced educational concepts of China and the West

Online veröffentlicht: 23. Dez. 2022

Seitenbereich: -

Eingereicht: 19. Juli 2022

Akzeptiert: 07. Sept. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00296

SchlüsselwörterTLOB, passive set, optimisation precision, fine search, vocal music education

© 2024 Yan Hu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
TLOB, passive set, optimisation precision, fine search, vocal music education