Journal of E-Technology Aibing Wang,Yapeng Liu,Lu Chen,Huaxin Zhang 16 1 2025 https://doi.org/10.6025/jet/2025/16/1/1-9 https://www.dline.info/jet/fulltext/v16n1/jetv16n1_1.pdf This paper addresses issues in the governance of vocational education teaching quality and proposes a construction method for a governance system based on a genetic algorithm. Both domestically and internationally, research progress has shown some important advancements in the governance of vocational education teaching quality, including the design of evaluation indicator systems and governance strategies. By analyzing the current challenges and demands in vocational education teaching quality and the advantages of genetic algorithms in optimization problems, this study constructs a governance system with the genetic algorithm as its core. This system aims to optimize vocational education teaching quality, enhance educational effectiveness, and achieve these goals by establishing a rational evaluation indicator system, formulating effective governance strategies, and implementing mechanisms.