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Creating Timetables Using Genetic Algorithms
Horký, Aleš ; Matoušek, Jiří (referee) ; Minařík, Miloš (advisor)
This bachelor thesis contains design and implementation of two-phase genetic algorithm intended for creating timetable schedules at primary schools. The algorithm is designed for maximum reduction of state space of solved problem without decrease of its universality. The implementated program in C++ language is applicable for creating timetable schedules at small and medium sized schools.
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System for Advanced Scheduling
Horký, Aleš ; Jaroš, Jiří (referee) ; Drahošová, Michaela (advisor)
This master thesis deals with the automatic design of examinations and courses scheduling. The design is adapted to the specific requirements of the Faculty of Information Technology of Brno University of Technology. A genetic algorithm and a heuristic algorithm are employed to solve this task. The genetic algorithm is used to specify the sequence of the examinations (or the courses) and then the heuristic algorithm spread them out into a timetable. An implementation (written in Python 3) provides a fast parallel processing calculation which can generate satisfactory schedules in tens of minutes. Performed experiments show approximately 13% better results in all considered criteria in comparison with utilized examination schedules in the past. The development was periodically consulted with persons responsible for the schedule processing at the faculty. The program will be used while designing of examination schedules for the academic year 2015/2016.
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Creating Timetables Using Genetic Algorithms
Horký, Aleš ; Matoušek, Jiří (referee) ; Minařík, Miloš (advisor)
This bachelor thesis contains design and implementation of two-phase genetic algorithm intended for creating timetable schedules at primary schools. The algorithm is designed for maximum reduction of state space of solved problem without decrease of its universality. The implementated program in C++ language is applicable for creating timetable schedules at small and medium sized schools.
|
|
|
System for Advanced Scheduling
Horký, Aleš ; Jaroš, Jiří (referee) ; Drahošová, Michaela (advisor)
This master thesis deals with the automatic design of examinations and courses scheduling. The design is adapted to the specific requirements of the Faculty of Information Technology of Brno University of Technology. A genetic algorithm and a heuristic algorithm are employed to solve this task. The genetic algorithm is used to specify the sequence of the examinations (or the courses) and then the heuristic algorithm spread them out into a timetable. An implementation (written in Python 3) provides a fast parallel processing calculation which can generate satisfactory schedules in tens of minutes. Performed experiments show approximately 13% better results in all considered criteria in comparison with utilized examination schedules in the past. The development was periodically consulted with persons responsible for the schedule processing at the faculty. The program will be used while designing of examination schedules for the academic year 2015/2016.
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