genetic algorithm
2016-08-23
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This paper details the implementation of a computer program which employs Genetic
Algorithms (GAs) in the quest for an optimal lecture timetable generator. GA theory is
covered with emphasis on less fully encoded systems employing non-genetic operators.
The field of Automated Timetabling is also explored. A timetable is explained as,
essentially, a schedule with constraints placed upon it. The program, written in C,
incorporates a repair strategy for faster evolution. In a simplified university timetable
problem it consistently evolves constraint violation free timetables. The effects of
altered mutation rate and populatio
Algorithms (GAs) in the quest for an optimal lecture timetable generator. GA theory is
covered with emphasis on less fully encoded systems employing non-genetic operators.
The field of Automated Timetabling is also explored. A timetable is explained as,
essentially, a schedule with constraints placed upon it. The program, written in C,
incorporates a repair strategy for faster evolution. In a simplified university timetable
problem it consistently evolves constraint violation free timetables. The effects of
altered mutation rate and populatio
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