Construction of Music Assisted Instruction System Based on Genetic Algorithm

The most important purpose of standardization of digital learning resources is the reuse and sharing of resources, so that digital resources can be exchanged in heterogeneous systems. Due to the universality, complexity and diversity of the construction of music-assisted instruction system, a large number of digital music resources are difficult to share and reuse, and it is difficult for different digital music service systems to communicate with each other. This topic launches the construction of music-assisted instruction system based on GA(genetic algorithm). The music-assisted instruction system is developed based on B/S structure. The system includes three layers of architecture, including presentation layer, business logic layer and data access layer. Because the common mutation operation may make the questions outside the user’s specified range appear in the chromosome, and the number of questions in each question type is difficult to guarantee, this paper adopts conditional mutation operator. The research shows that the convergence algebra of the optimized algorithm is reduced by 41.27%. It is proved that the algorithm is effective in improving selection strategy, crossover operation and offspring population. The system has a strong ability to deal with sudden business, and will not experience steep rise or fall due to sudden business.