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Genetic algorithm based examination timetabling system / Krishna Bacalso Hernandez.

By: Material type: TextTextLanguage: English Publication details: 2006Description: 92 leavesSubject(s): Dissertation note: Thesis (BS Computer Science) -- University of the Philippines Mindanao, 2006 Abstract: The genetic algorithm-based examination timetabling system was developed for creating feasible and acceptable final examination timetables for the undergraduate degree programs of the University of the Philippines in Mindanao. It responds to the need of the university on handling an increasing occurrence of conflict in producing final examination timetables due to the increasing number of students in the university and the implementation of the revised general education program (RGEP). The developed system generates batched timetables for further analysis and selection where the details of constraint violation are described. The use of genetic algorithm is described in detail to further illustrate the functionality of the system. Genetic algorithm is used both in generating initial feasible timetables and in optimization to create acceptable timetables.
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Cover image Item type Current library Collection Call number Status Date due Barcode
Thesis Thesis University Library General Reference Room-Use Only LG993.5 2006 C6 H47 (Browse shelf(Opens below)) Not For Loan 3UPML00011753
Thesis Thesis University Library Archives and Records Preservation Copy LG993.5 2006 C6 H47 (Browse shelf(Opens below)) Not For Loan 3UPML00031331

Thesis (BS Computer Science) -- University of the Philippines Mindanao, 2006

The genetic algorithm-based examination timetabling system was developed for creating feasible and acceptable final examination timetables for the undergraduate degree programs of the University of the Philippines in Mindanao. It responds to the need of the university on handling an increasing occurrence of conflict in producing final examination timetables due to the increasing number of students in the university and the implementation of the revised general education program (RGEP). The developed system generates batched timetables for further analysis and selection where the details of constraint violation are described. The use of genetic algorithm is described in detail to further illustrate the functionality of the system. Genetic algorithm is used both in generating initial feasible timetables and in optimization to create acceptable timetables.

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