Music education in colleges and universities is pivotal in nurturing creativity and holistic development among students. However, traditional approaches to vocal music education can partially align with the evolving needs of a globalized and culturally diverse society. The study employs a novel teaching and learning methodology known as Genetic-adaptive Teaching-Learning-Based Optimization (GA-TLBO) to develop a customized curriculum that adapts to the diverse needs and backgrounds of students. GA-TLBO utilizes genetic algorithms to optimize the teaching process, ensuring a tailored and adaptive educational experience. Through numerical simulations of the standard test set (J120 and J30) and a comparative analysis with the established GA-TLBO algorithm, the findings indicate that 92% of the solutions in the Elite Teaching-Learning-Based Optimization (ETLBO) outperform that are not surpassed by the methods in the keys without dominance set of GA-TLBO. Conversely, two percentages of the practices in the solutions without dominance set of the optimized ETLBO are outperformed by the solutions without dominance of the original GA-TLBO algorithm. The approach fosters cross-cultural understanding and artistic expression while accommodating the unique characteristics and aptitudes of individual learners. Fostering a diversified and adaptable learning environment besides enhances students' musical abilities but also promotes cultural exchange, creativity and innovation, preparing them to excel in a globalized and competitive world.