Frontiers in Educational Research, 2022, 5(19); doi: 10.25236/FER.2022.051915.
Zhou Junjun1, Yao Hexia1, Donna Marie A. Oyam1, Wang Yi2
1College of Teacher Education, University of the Cordilleras, Baguio, Philippines
2School of Mechanical and Equipment Engineering, HUE, Handan, China
With the development of higher education and the continuous increase of the number of students, under the premise of limited classroom resources, the curriculum arrangement is more onerous. Course scheduling is one of the very important and complex management work in school teaching management. In this paper, parallel genetic algorithm is applied to solve the course scheduling problem, and a course scheduling system based on parallel genetic algorithm is designed and implemented, which can reflect the actual course scheduling situation to a large extent and achieve the optimization of multiple objectives as much as possible, so as to improve the efficiency of course scheduling.
course scheduling; parallel genetic algorithm; timetable problem; computational efficiency
Zhou Junjun, Yao Hexia, Donna Marie A. Oyam, Wang Yi. Design and Implementation of Intelligent Course Scheduling System for Deep Integration of Education and Teaching. Frontiers in Educational Research (2022) Vol. 5, Issue 19: 81-89. https://doi.org/10.25236/FER.2022.051915.
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