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.
| Function | Value | HFOA | OPMBO |
| f1 | Mean | 1.30e−05 | 1.2160e-08 | Std | 6.37e−07 | 1.4345e-08 |
| f5 | Mean | 1.82e−02 | 2.3977e-05 | Std | 5.45e−04 | 2.1619e-05 |
| f6 | Mean | 0 | 0 | Std | 0 | 0 |
| f10 | Mean | 2.65e−03 | 2.7394e-06 | Std | 5.67e−05 | 3.7822e-06 |
| f12 | Mean | 2.60e−03 | 6.2990e-05 | Std | 1.34e−04 | 4.4079e-05 |
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