Examination timetabling using genetic algorithm case study: KUiTTHO
Genetic Algorithm (GA) is one of the most popular optimization solutions. It has been implemented in various applications such as scheduling. The flows of GA are using selection, crossover and mutation operators applied to populations of chromosomes. This paper reports the powerful techniques...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/8164/1/24p%20MOHD%20ZAKI%20MOHD%20SALIKON.pdf |
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| Summary: | Genetic Algorithm (GA) is one of the most popular optimization solutions. It has
been implemented in various applications such as scheduling. The flows of GA are
using selection, crossover and mutation operators applied to populations of
chromosomes. This paper reports the powerful techniques using GA in scheduling.
Examination timetabling problem is one of the applications in scheduling. In one
aspect, it deals with students such that it fulfils the process time slot. These aspects
are important for the examination can be done in a smooth way and no students can
sit more than one exam in a same time slot. The other constraint is the student
workload should be arranged less than three exams in a row. The examination
timetabling problem at Kolej Universiti Teknologi Tun Hussein Onn (KUiTTHO) is
introduced and the prototype has been developed using Java language. The
prototype suggested several feasible solutions to the user. |
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