The purpose of this paper is to combine the integration of industry and education with the fusion of science and education and to promote the acceleration of the construction of a strong educational country under the perspective of collaborative governance. On the basis of exploring the traditional genetic algorithm, combined with the synergistic relationship between the integration of industry and education and the integration of science and education, the cooperative co-evolutionary genetic algorithm (CCGA) is selected to analyze the synergistic optimization of the two. Combined with the CCGA algorithm process, the synergistic efficiency and cooperative stability of the two are explored, and the coordination degree of the two is measured using the method of example analysis. Among them, the island model genetic algorithm and CCGA algorithm are selected for function testing to verify the superiority of this paper’s algorithm. The data shows that the synergy degree of elevator installation, repair, and maintenance majors in School Q is 0.48, ranking first. 0.44 For construction, 0.27 for electromechanical. 0.06 for agriculture, and the integration degree of other majors is lower than the average of 9 majors. The degree of synergy between industry, education and science in this university needs to be improved, and the connection between the education chain and the industrial chain needs to be strengthened.