TY  - JOUR
T1  - A Review of Genetic Algorithm Application in Examination Timetabling Problem
AU - Mohammed, Mazin Abed AU - Ghani, Mohd Khanapi Abd AU - Obaid, Omar Ibrahim AU - Mostafa, Salama A. AU - Ahmad, Mohd Sharifuddin AU - Ibrahim, Dheyaa Ahmed AU - Burhanuddin, M.A. 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 20
SP  - 5166
EP  - 5181
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.5166.5181
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.5166.5181
KW  - Genetic Algorithm (GA)
KW  - Evolutionary Algorithm (EA)
KW  -optimization
KW  -examination timetabling
KW  -simulated annealing
KW  -achieved
AB  - Many studies have used different types of genetic algorithm in solving examination timetabling
problem. The solutions of the genetic algorithm are found to be efficient and reliable. This study provides a
comprehensive review of genetic algorithm application in examination timetabling. It presents many examples
of using genetic algorithm in finding optimal solutions to the problem of examination timetabling at universities
or institutions. Subsequently, it presents the most used techniques to solve the examination timetabling
problem such as tabu search and simulated annealing techniques. The objective of the study is to provide an
understanding on what have been achieved in solving examination timetabling problem.
ER  -