In response to the problem that existing arrangement methods do not fully consider the characteristics of popular music, resulting in poor performance of popular music arrangement, this paper proposes and designs an intelligent composition method for popular music based on adaptive multimodal particle swarm optimization algorithm. First, the design completes the establishment of the pop music intelligent composition model based on rhythm and melody generation and multi-instrument arrangement, and then applies the adaptive multimodal particle swarm optimization algorithm to complete the composition model solution, realizing the intelligent composition function. Finally, the progressiveness of the proposed method is verified through experiments. The experimental results demonstrate that the proposed method can effectively achieve musical composition based on the specified style, yielding a rhythm, completeness, harmony, and overall effect that are highly satisfactory. With scores consistently above 90 points, this method outperforms comparative techniques. These findings highlight the potential of the proposed method as a valuable tool for music producers, offering a reliable reference for arranging music and enhancing the quality of compositions. This research underscores the method’s significance in advancing automated music composition and its practical applications in the music industry.
Shi-lian et al. (Wed,) studied this question.
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