Cognitive radio engine parametric optimization utilizing Taguchi analysis

EURASIP Journal on Wireless Communications and Networking

Table 3 GA testing parameter values

Parameter	1	2	3
A: crossover rate	0.55	0.675	0.95
B: mutation rate	0.005	0.0075	0.01
C: population size	50	75	100
D: maximum generations	25	50	75

The Taguchi method requires translation of the discrete variable values onto a unified scale. While DOE and RSM use a [-1, 0,1] scale, Taguchi uses [1,2,3,. .. ]. This table defines what the possible values are for each configuration parameters.