The Scientific World Journal / 2014 / Article / Tab 3

Research Article

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

Table 3

Overall accuracy of each index varying with populations.

PopulationIndex
Overall accuracy (%)
DBIFCMIPASIDBFCMIAverage

3071.6 73.2 64.9 75.5 71.3
6074.7 69.3 68.6 72.9 71.4
7570.3 73.7 70.8 72.1 71.7
9073.8 65.7 70.7 73.9 71.0
Standard deviation2.03.72.81.4

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