1. DSpaceCRIS@UNITEN
  2. UNITEN Publication
  3. UNITEN Scholarly Publication
Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/11379
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dc.contributor.authorMohammed, M.A.en_US
dc.contributor.authorGhani, M.K.A.en_US
dc.contributor.authorObaid, O.I.en_US
dc.contributor.authorMostafa, S.A.en_US
dc.contributor.authorAhmad, M.S.en_US
dc.contributor.authorIbrahim, D.A.en_US
dc.contributor.authorBurhanuddin, M.A.en_US
dc.date.accessioned2018-12-14T02:43:03Z-
dc.date.available2018-12-14T02:43:03Z-
dc.date.issued2017-
dc.description.abstractMany 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. © Medwell Journals, 2017.
dc.language.isoenen_US
dc.titleA review of genetic algorithm application in examination timetabling problemen_US
dc.typeArticleen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:UNITEN Scholarly Publication
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