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A hybrid modified cuckoo search algorithm for the uncapacitated examination timetabling

Author

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  • Meryem Cheraitia
  • Rewayda Razaq Abo Alsabeh

Abstract

In this study, we investigate the effectiveness of cuckoo search algorithm (CSA) for solving the uncapacitated examination timetabling problem (UETTP). CSA is a popular metaheuristic optimisation algorithm that mimics the behaviour of cuckoos. Compared with other nature-inspired algorithms, it is more generic and robust for many optimisation problems. The CSA is easy to understand and implement. Furthermore, it represents a powerful search method with few controllable parameters and can be combined with additional strategies to increase effectiveness. We proposed a modified version of CSA. Moreover, a local search strategy is utilised to reinforce the CSA and improve the exploitation phase to develop and provide high-quality solutions. Extensive experiments were conducted using Carter benchmark datasets consisting of 12 instances selected from several real-world universities. The obtained results confirm that the hybrid modified CSA outperforms the basic CSA and it has comparable performance in comparison with other algorithms proposed in the literature.

Suggested Citation

  • Meryem Cheraitia & Rewayda Razaq Abo Alsabeh, 2024. "A hybrid modified cuckoo search algorithm for the uncapacitated examination timetabling," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 28(1), pages 40-59.
    • Handle: RePEc:ids:ijmore:v:28:y:2024:i:1:p:40-59
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