Research Article
Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation
Table 8
The comparison of OPMBO with two GWOs on 30 dimensions with a population size of 20.
| Function | Value | GWO | OGWO | OPMBO |
| f1 | Mean | 0 | 0 | 1.2050e-11 | Std | 0 | 0 | 1.7997e-11 |
| f2 | Mean | 1.1120e-03 | 4.6172e-04 | 1.5053e-29 | Std | 7.6128e-04 | 5.6910e-04 | 2.5417e-29 |
| f4 | Mean | 0 | 0 | 1.5287 | Std | 0 | 0 | 2.2393 |
| f7 | Mean | 2.6505e+01 | 2.4281e+01 | 31.0143 | Std | 5.2458e-01 | 4.6388e-01 | 38.9259 |
| f8 | Mean | 4.6138e-02 | 1.7570e-06 | 1.4067e-15 | Std | 2.1483e-02 | 5.9634e-07 | 3.6039e-15 |
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