The Scientific World Journal / 2014 / Article / Tab 8

Research Article

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

Table 8

K-HAT value of each model varying with crossover ways.

Crossover wayIndex
K-HAT
DBIFCMIPASIDBFCMIAverage

P10.32 0.31 0.33 0.36 0.33
P20.36 0.34 0.24 0.48 0.34
P30.26 0.33 0.30 0.32 0.30
P40.29 0.35 0.34 0.36 0.34
P50.35 0.25 0.26 0.37 0.31
P60.23 0.20 0.10 0.39 0.23
Standard deviation0.050.060.090.03

String length: 8, population: 30, selection way: roulette wheel selection, crossover rate: 0.8, and mutation rate: 0.003.