Mathematical Problems in Engineering / 2014 / Article / Tab 3

Research Article

A Double Evolutionary Pool Memetic Algorithm for Examination Timetabling Problems

Table 3

The parameter setting of our algorithm.

ParameterValues

NM/NS: the scale of the population in the main/secondary evolutionary pool100/30
: the same crossover probability in these two evolutionary pools0.8
: the same mutation probability in these two evolutionary pools0.2
IterMax: the maximum iteration number of the whole algorithm500
Itermax: the maximum iteration number of the local search approach10
: the exchange number of timeslots2