Abdullah, Amran (2006) Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT. Masters thesis, Universiti Utara Malaysia.
AMRAN_B._ABDULLAH_-_COMPUTER_LAB_TIMETABLING_USING_GENETIC_ALGORITHM_CASE_STUDY_-_UNIT_ICT.pdf
Restricted to Registered users only
Download (9MB) | Request a copy
Abstract
Genetic Algorithm is one of the most popular optimization solutions used 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 techniques using GA in scheduling. Class timetabling problem is one of the applications in scheduling. Basically, it will look into matters such as putting students into certain time slot. These aspects are important for lab session to avoid clash and no students can sit more than one lab session in a same time slot. The
other constraint is the student workload should be arranged less than three session in a row. The computer lab timetabling problem at Unit ICT, Fakulti Teknologi
Maklumat, Universiti Utara Malaysia is introduced and the prototype has been developed using Java language. The prototype suggested several feasible solutions to the user.
Item Type: | Thesis (Masters) |
---|---|
Supervisor : | UNSPECIFIED |
Item ID: | 1901 |
Subjects: | Q Science > QA Mathematics > QA71-90 Instruments and machines |
Divisions: | Faculty and School System > Faculty of Information Technology |
Date Deposited: | 08 Jun 2010 04:17 |
Last Modified: | 24 Jul 2013 12:13 |
Department: | Faculty of Information Technology |
URI: | https://etd.uum.edu.my/id/eprint/1901 |