In order to improve the inadequacy of the current college drama performance courses and teaching content, this paper firstly improves the scheduling method of drama performance through adaptive genetic algorithm, and then proposes a dynamic optimization mechanism of college drama performance teaching content for the teaching content. In order to test the effectiveness of the adaptive genetic algorithm in the scheduling of drama performance courses and the superiority of this paper’s dynamic optimization mechanism of teaching content, the performance of the adaptive algorithm and the teaching effect of the dynamic optimization mechanism are verified respectively. In the algorithm performance experiments, this adaptive genetic algorithm achieves the optimal solution adaptation value (1595.7233) and convergence speed (57). The experimental group adopting the dynamic optimization mechanism of teaching content in this paper significantly improved the teaching effect on six dimensions: acting paradigm, drama theory, acting style, acting practice, character analysis, and plot comprehension (p0.05). Before the experiment, the two groups were at the same level. After the experiment, the experimental group was significantly ahead of the control group in all dimensions (p<0.05).
