Publication Type : Journal Article
Publisher : Int.J.Computer Technology Applications
Source : Int.J.Computer Technology & Applications, Volume 5, Number 4, p.1491-1494 (2014)
Url : https://pdfs.semanticscholar.org/92c1/684dc7cbd809360a9411ee0f3c24f84d1ffc.pdf
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2014
Abstract : Finding a feasible lecture/tutorial timetable in a large university department is a challenging problem faced continually in educational establishments. This paperpresents an evolutionary algorithm (EA) based approach to solving a heavily constrained university timetabling problem. The approach uses a problem-specific chromosome representation. Heuristics and context-based reasoning have been used for obtaining feasible timetables in a reasonable computing time. An intelligent adaptive mutation scheme has been employed for speeding up the convergence. The comprehensive course timetabling system presented in this paper has been validated, tested and discussed using real world data from a large university.
Cite this Research Publication : S. D. Shenoy, Sharma, V., and S .Santhanalakshmi, “Automation of Timetable Generation using Genetic Algorithm”, Int.J.Computer Technology & Applications, vol. 5, pp. 1491-1494, 2014.