期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：1
出版社：Journal of Theoretical and Applied
摘要：Course timetable generation problem is a NP-hard problem where we have to take care of different constraints. Optimization problem is a technique of finding an alternative solution having cost effective or highly achievable performance subjected to given constraints, Optimization aims at maximizing desired factors and minimizing or reducing the undesired factors. This paper focuses the hybrid approach produced by combining the concept of Bee colony Optimization (BCO) and Firefly Algorithm (FA) collectively termed as BCFA for finding the optimal solutions of course time table. There are three objectives for construction of the paper, first objective is to get an overview on timetabling problem, second objective is the BCFA and its variations with other timetable generation algorithms and the third objective is to compare the result of BCFA with other evolutionary algorithms. The proposed approach aims at constructing or generating the course timetable and optimizing that timetable .
