DocumentCode
408364
Title
Evolutionary time scheduling
Author
Nedjah, Nadia ; de Macedo Mourelle, Luiza
Author_Institution
Dept. of de Syst. Eng. & Comput., State Univ. of Rio de Janeiro, Brazil
Volume
2
fYear
2004
fDate
5-7 April 2004
Firstpage
357
Abstract
Genetic algorithms are generally used to solve NP-complete problems, which include scheduling problem in academic institutions. Scheduling consists of assigning offered courses to available time periods so that the students´ satisfaction factor is maximised while preserving the unbreakable academic rules such as two distinct courses cannot be scheduled during the same period of time because the same lecturer ministers the corresponding courses. In this paper, we present an application of genetic algorithms to a generic scheduling problem. The necessary algorithmic solution is described together with some empirical observations about the performance of the scheduler implementation.
Keywords
computational complexity; genetic algorithms; scheduling; NP-complete problem; academic institution; evolutionary time scheduling; genetic algorithm; scheduling problem; Computational modeling; Encoding; Evolutionary computation; Genetic algorithms; Genetic engineering; Genetic mutations; NP-complete problem; Processor scheduling; Scheduling algorithm; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
Print_ISBN
0-7695-2108-8
Type
conf
DOI
10.1109/ITCC.2004.1286663
Filename
1286663
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