@article{MAKHILLJEAS2017122014906,
    title = {A Review of Genetic Algorithm Application in Examination Timetabling Problem},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {20},
    pages = {5166-5181},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.5166.5181},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.5166.5181},
    author = {Mazin Abed,Mohd Khanapi Abd,Omar Ibrahim,Salama A.,Mohd Sharifuddin,Dheyaa Ahmed and},
    keywords = {Genetic Algorithm (GA), Evolutionary Algorithm (EA),optimization,examination timetabling,simulated annealing,achieved},
    abstract = {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.}
    }