Abstract
In this paper, a Harmony Search-based Hyper-heuristic (HSHH) approach is proposed for tackling examination timetabling problems. In this approach, the harmony search algorithm will operate as a high level of abstraction which intelligently evolves a sequence of low level heuristics. This sequence is a combination of improvement heuristics which consist of neighborhood structure strategies. The proposed approach is tested using the examination timetabling tracks in Second International Timetabling Competition (ITC-2007) benchmarks. Experimentally, the HSHH approach can achieve comparable results with the comparative methods in the literature.
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Anwar, K., Khader, A.T., Al-Betar, M.A., Awadallah, M.A. (2014). Development on Harmony Search Hyper-heuristic Framework for Examination Timetabling Problem. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_11
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DOI: https://doi.org/10.1007/978-3-319-11897-0_11
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