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- W2137360482 abstract "A genetic algorithm for solving a timetable scheduling problem is described. The algorithm was tested on small and large instances of the problem. Algorithm performance was significantly enhanced with modification of basic genetic operators. Intelligent operators restrain the creation of new conflicts in the individual and improve the overall algorithm 's behavior." @default.
- W2137360482 created "2016-06-24" @default.
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- W2137360482 date "2004-03-02" @default.
- W2137360482 modified "2023-09-25" @default.
- W2137360482 title "Solving timetable scheduling problem using genetic algorithms" @default.
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- W2137360482 doi "https://doi.org/10.1109/iti.2003.1225396" @default.
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