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