TABLE 2
Design parameters of genetic algorithm implementation
Parameter Description
Value
elite rate
0.01
mutation rate
0.005
selection method
fitness proportionate (
Holland, 1992
)
crossover method
uniform (
Syswerda, 1989
)
population size
100
number iterations
10,000