Mohammad Sadegh Shiri; Mostafa Khorramizadeh; Vahid Ahmadi
Volume 3, Issue 4 , December 2022, , Pages 452-464
Abstract
Purpose: This paper presents a new two-phase method for solving the curriculum-based university course timetabling problem. A new metaheuristic approach is used in both phases of the new present method.Methodology: A feasible, high-quality solution is computed in the first phase of the new method. To ...
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Purpose: This paper presents a new two-phase method for solving the curriculum-based university course timetabling problem. A new metaheuristic approach is used in both phases of the new present method.Methodology: A feasible, high-quality solution is computed in the first phase of the new method. To this end, the hard constraints relating to the periods are considered, and a solution is computed that satisfies these hard constraints. In the next step, a new method is introduced for assigning rooms to courses, after which a feasible solution is calculated based on the solution that satisfies the period's hard constraints. In the second phase, several new neighbourhood functions are used to improve the quality of computed feasible solutions. While the fitness function of the first phase is based on the violation of hard constraints, the fitness function of the second phase is based on the penalty of the feasible solution.Findings: The numerical results indicate that the required computing time increases with the size of instances, and the algorithm tends to converge towards the optimal solution after a few minutes.Originality/Value: The presented algorithm enables us to deal with extensive university course timetabling problems in practice. Moreover, it provides us with an efficient way to obtain feasible solutions to such real-world instances and try to improve their quality.
