The Scientific World Journal / 2014 / Article / Tab 4

Research Article

An Efficient Fitness Function in Genetic Algorithm Classifier for Landuse Recognition on Satellite Images

Table 4

K-HAT of each index varying with populations.

PopulationIndex
K-HAT
DBIFCMIPASIDBFCMIAverage

300.36 0.34 0.24 0.48 0.34
600.35 0.24 0.07 0.33 0.25
750.37 0.31 0.29 0.39 0.34
900.32 0.21 0.16 0.36 0.26
Standard deviation0.020.060.100.04

String length: 8, selection way: roulette wheel selection, crossover rate: 0.8, crossover way: two-point crossover, and mutation rate: 0.003.