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Table 3 GA testing parameter values

From: Cognitive radio engine parametric optimization utilizing Taguchi analysis

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
  1. 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.