An adaptive coevolutionary memetic algorithm for examination timetabling problems

2017 ◽  
Vol 10 (4) ◽  
pp. 248 ◽  
Author(s):  
Yu Lei ◽  
Maoguo Gong ◽  
Licheng Jiao ◽  
Jiao Shi ◽  
Yu Zhou
2018 ◽  
Vol 94 ◽  
pp. 118-138 ◽  
Author(s):  
Nuno Leite ◽  
Carlos M. Fernandes ◽  
Fernando Melício ◽  
Agostinho C. Rosa

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Yu Lei ◽  
Maoguo Gong ◽  
Licheng Jiao ◽  
Wei Li ◽  
Yi Zuo ◽  
...  

A double evolutionary pool memetic algorithm is proposed to solve the examination timetabling problem. To improve the performance of the proposed algorithm, two evolutionary pools, that is, the main evolutionary pool and the secondary evolutionary pool, are employed. The genetic operators have been specially designed to fit the examination timetabling problem. A simplified version of the simulated annealing strategy is designed to speed the convergence of the algorithm. A clonal mechanism is introduced to preserve population diversity. Extensive experiments carried out on 12 benchmark examination timetabling instances show that the proposed algorithm is able to produce promising results for the uncapacitated examination timetabling problem.


2017 ◽  
Vol 22 (5) ◽  
pp. 1511-1523 ◽  
Author(s):  
Yu Lei ◽  
Jiao Shi ◽  
Zhen Yan

2010 ◽  
Vol 36 (2) ◽  
pp. 242-248 ◽  
Author(s):  
Jie CHEN ◽  
Chen CHEN ◽  
Juan ZHANG ◽  
Bin XIN

Author(s):  
Bashar A. Aldeeb ◽  
Mohammed Azmi Al-Betar ◽  
Norita Md Norwawi ◽  
Khalid A. Alissa ◽  
Mutasem K. Alsmadi ◽  
...  

2021 ◽  
pp. 107473
Author(s):  
Mohammad Bagher Dowlatshahi ◽  
Marjan Kuchaki Rafsanjani ◽  
Brij B. Gupta

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