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
Link To Document :
بازگشت