Intelligent Optimization Of Curriculum System Based On Washington Accord Graduate Attribute

Considering the authoritative engineering education certification standards is of great significance to formulate a curriculum system that meets the actual needs of engineering talents. However, the existing research on intelligent optimization of curriculum system pays little attention to certification standards. In this paper, a mathematical model of course selection and balance problem is established with the optimization goal of the support degree of curriculum system based on Washington Accord Graduate Attribute and the balance of academic load between semesters, and a two-stage improved genetic firefly algorithm(GAFA) is proposed to solve the model. Finally, the feasibility and effectiveness of the proposed model and algorithm are verified by taking the actual training requirements and course data as examples.