Genetic Algorithm and Its Application in Scheduling System

Jian Ni, Ning-Ning Yang


With the development of education and college expansion and consolidation in the Educational Management System Course Scheduling System has become more complex, and therefore necessary to design one for development, and reuse. Given this situation, this paper proposes a solution based on genetic algorithm. The results show that genetic algorithms can effectively solve the course timetabling problem. This method is easy to learn and apply, and do not rely on a special mode.



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The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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