Research Article
A Double Evolutionary Pool Memetic Algorithm for Examination Timetabling Problems
Table 3
The parameter setting of our algorithm.
| Parameter | Values |
| NM/NS: the scale of the population in the main/secondary evolutionary pool | 100/30 | : the same crossover probability in these two evolutionary pools | 0.8 | : the same mutation probability in these two evolutionary pools | 0.2 | IterMax: the maximum iteration number of the whole algorithm | 500 | Itermax: the maximum iteration number of the local search approach | 10 | : the exchange number of timeslots | 2 |
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