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Soft Computing

, Volume 22, Issue 5, pp 1511–1523 | Cite as

A memetic algorithm based on MOEA/D for the examination timetabling problem

  • Yu Lei
  • Jiao Shi
  • Zhen Yan
Focus

Abstract

A memetic algorithm based on MOEA/D is presented to deal with the uncapacitated multiobjective examination timetabling problem in this paper. The examination timetabling problem is considered as a two-objective optimization problem in this paper, while it is modeled as a single-objective optimization problem generally. The framework of a multiobjective evolutionary algorithm with decomposition (MOEA/D) is first employed to guide the evolutionary process. Two special local search operators are designed to find better individuals. The proposed algorithm is tested on 11 benchmark examination timetabling instances. Experimental results prove that the proposed algorithm can produce a promising set of nondominated solutions for each examination timetabling instance.

Keywords

Uncapacitated examination timetabling problem Multiobjective optimization MOEA/D Local search 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China. (Grant Nos. 61603299 and 61602385) and China Postdoctoral Science Foundation (2017M613204).

Compliance with ethical standards

Conflict of interest

Yu Lei and Jiao Shi declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.School of Electronics and InformationNorthwestern Polytechnical UniversityXi’anChina
  2. 2.School of Computer ScienceChina University of GeosciencesWuhanChina

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