A memetic algorithm based on MOEA/D for the examination timetabling problem
A memetic algorithm based on MOEA/D for the examination timetabling problem
复制标题
基于MOEA/D的模因算法解决考试排期问题
DOI:
10.1007/s00500-017-2886-y
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发表时间:
2017-11
期刊:
影响因子:
4.1
通讯作者:
Yan Zhen
中科院分区:
文献类型:
--
作者:
Lei Yu;Shi Jiao;Yan Zhen
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.
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