Mathematical Programming Formulations for the Examinations Timetable Problem

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Date
2004-12
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African Journal of Science and Technology (AJST)
Abstract
Examinations Timetabling Problem (ETP) is the problem of assigning courses to be examined and candidates to time periods and examination rooms while satisfying a set of constraints. Every University has a different set of constraints and structure of examinations. Thus there is no general ETP model for all Universities around the world [1]. ETP is NP-Hard [2] and therefore no optimal algorithm is known for this problem which can solve a general problem within reasonable time. However, exact methods can be used to provide a benchmark for the heuristic methods. There is no general model for University Timetabling Problems because the problem feature differs from one University to another. In this paper we focus in the formulation of the ETP for the University of Dar as salaam. We formulate, test and compare three Integer Programming models. It is concluded that, although exact methods cannot give a solution to a real-size problem, these models give a good benchmark for testing the performance of other approaches. This paper also gives a direction for better exact models for the University of Dar es salaam’s ETP. INTRODUCTION The Examination-Timetabling Problem (ETP) essentially involves the assignment of courses to be examined and their candidates to time periods and examination rooms while satisfying a given set of constraints. These constraints are divided into hard and soft [i], [ii]. Hard constraints must be satisfied such as avoiding studentexamination collision and room over-sizing. Soft constraints may
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Keywords
Mathematical Programming, Examinations Timetabling, Combinatorial Optimization
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