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A Performance Comparison of Metaheuristics Search for University Course Timetabling Problems

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This research presents the metaheuristics approach in solving a real world problem of University Course Timetabling in Universiti Malaysia Sabah Labuan International Campus (UMSLIC), Malaysia. The problem domain in UMSLIC has several constraints which need to be satisfied. Solutions are considered as feasible if the hard constraints are satisfied, while minimizing the cost of soft constraints as much as possible. In this research, a Constraint Programming (CP) algorithm is proposed and implemented in order to solve the hard constraint while satisfying the soft constraints is handled by using the Great Deluge (GD) algorithm. A comparison performance of the linear and non-linear Great Deluge algorithm is also investigated based on the results obtained, the combination of CP and GD algorithms is effective to produce better solutions.
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Keywords: Constraint Programming; Great Deluge; University Course Timetabling

Document Type: Research Article

Affiliations: Faculty of Computing and Informatics, Universiti Malaysia Sabah, Malaysia

Publication date: November 1, 2017

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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