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A Diversity Keeping Strategy for the Multi-objective Examination Timetabling Problem

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Bio-inspired Computing – Theories and Applications (BIC-TA 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 682))

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Abstract

This paper presents a diversity keeping strategy for examination timetabling problems. In this paper, the examination timetabling problem is considered as a two-objective optimization problem while it is modeled as a single-objective optimization problem generally. Within the NNIA framework, a diversity-keeping strategy which consists of an elitism group operator and an extension optimization operator to ensure a sufficient number of solutions in the pareto front. The proposed algorithm was tested on the most widely used un-capacitated Carter benchmarks. Experimental results prove that the proposed algorithm is a competitive algorithm.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 61603299).

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Correspondence to Yu Lei .

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Lei, Y., Shi, J., Zhang, K. (2016). A Diversity Keeping Strategy for the Multi-objective Examination Timetabling Problem. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-10-3614-9_37

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  • DOI: https://doi.org/10.1007/978-981-10-3614-9_37

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  • Print ISBN: 978-981-10-3613-2

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