Research Article

A Feature Weighted Fuzzy Clustering Algorithm Based on Multistrategy Grey Wolf Optimization

Table 3

Comparison of the optimization results of seven algorithms on eight test functions.

FunctionPSOGWOHGSOAOAOAMRFOMSGWO

f1Ave2.38E-286.86E-284.03E-1836.81E-1082.42E-080.00E+000.00E+00
Std3.02E-047.16E-280.00 E+003.73E-1077.36E-080.00E+000.00E+00
f2Ave3.84E-029.13E-175.69E-937.39E-720.00 E+006.56E-2070.00E+00
Std5.11E-025.51E-173.06E-923.88E-710.00 E+000.00E+000.00E+00
f3Ave9.01E+011.49E-056.29E-1472.59E-1099.68E-040.00E+000.00E+00
Std3.26E+013.85E-053.32E-1471.42E-1087.69E-040.00E+000.00E+00
f4Ave1.08E+008.85E-073.11E-893.71E-523.50E-152.00E-1980.00E+00
Std2.04E-011.22E-061.69E-882.03E-511.92E-140.00E+000.00E+00
f5Ave1.61E-011.80E-031.60E-041.00E-047.11E-051.32E-046.65E-05
Std5.34E-022.11E-041.00E-031.16E-045.92E-051.44E-045.51E-05
f6Ave5.13E+011.48E+000.00E+000.00E+000.00E+000.00E+000.00E+00
Std1.38E+010.00E+000.00E+000.00E+000.00E+000.00E+000.00E+00
f7Ave7.60E-033.40E-030.00E+000.00E+000.00E+000.00E+000.00E+00
Std1.03E-027.10E-030.00E+000.00E+000.00E+000.00E+000.00E+00
f8Ave2.49E-019.91E-141.13E-158.88E-168.88E-168.88E-168.88E-16
Std4.95E-011.32E-149.01E-160.00E+008.88E-160.00E+000.00E+00