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Ahmad Firdaus Khair
Universiti Sultan Zainal Abidin

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An ant colony algorithm for universiti sultan zainal abidin examination timetabling problem Ahmad Firdaus Khair; Mokhairi Makhtar; Munirah Mazlan; Mohamad Afendee Mohamed; Mohd Nordin Abdul Rahman
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp191-198

Abstract

The real-life construction of examination timetabling problem is considered as a common problem that always encountered and experienced in educational institution whether in school, college, and university. This problem is usually experienced by the academic management department where they have trouble to handle complexity for assign examination into a suitable timeslot manually. In this paper, an algorithm approach of ant colony optimisation (ACO) is presented to find an effective solution for dealing with Universiti Sultan Zainal Abidin (UniSZA) examination timetabling problems. A combination of heuristic with ACO algorithm contributes the development solution in order to simplify and optimize the pheromone occurrence of matrix updates which include the constraints problem. The implementation of real dataset instances from academic management is applied to the approach for generating the result of examination timetable. The result and performance that obtained will be used for further use to evaluate the quality and observe the solution whether our examination timetabling system is reliable and efficient than the manual management that can deal the constraints problem.
Co-Authors Mohamad Afendee Mohamed Mohd Nordin Abdul Rahman Mokhairi Makhtar Munirah Mazlan