Research Article

Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation

Table 7

The comparison results of OPMBO with HFOA on 30 dimensions with a population size of 50.

FunctionValueHFOAOPMBO

f1Mean1.30e−051.2160e-08
Std6.37e−071.4345e-08

f5Mean1.82e−022.3977e-05
Std5.45e−042.1619e-05

f6Mean00
Std00

f10Mean2.65e−032.7394e-06
Std5.67e−053.7822e-06

f12Mean2.60e−036.2990e-05
Std1.34e−044.4079e-05