Research Article
Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation
Table 10
The comparison results of clustering optimization on the three different MBO algorithms.
| Dataset | Value | MBO | GCMBO | OPMBO |
| Mydata | mean | 1.8159 | 1.7644 | 1.5715 | std | 0.1740 | 0.1710 | 0.1382 |
| Abalone | mean | 1.8487 | 1.8430 | 1.6846 | std | 0.1259 | 0.1135 | 0.0904 |
| Balance Scale | mean | 2.3613 | 2.3647 | 2.3250 | std | 0.0237 | 0.0238 | 0.0147 |
| Car | mean | 2.0465 | 2.0478 | 2.0125 | std | 0.0227 | 0.0214 | 0.0193 |
| Heart | mean | 52.6973 | 53.0394 | 48.2396 | std | 3.5966 | 3.5950 | 3.3478 |
| Liver Disorders | mean | 46.1680 | 44.4722 | 39.9735 | std | 5.0187 | 4.2370 | 3.5294 |
| Soy bean | mean | 3.5825 | 3.6082 | 3.3619 | std | 0.0852 | 0.0891 | 0.0715 |
| Statlog | mean | 92.6813 | 92.3759 | 86.4422 | std | 12.2853 | 12.2129 | 10.6546 |
| Yeast | mean | 0.3879 | 0.4006 | 0.3579 | std | 0.0352 | 0.0402 | 0.0286 |
| Zoo | mean | 2.3883 | 2.3986 | 2.3412 | std | 0.0725 | 0.0716 | 0.0666 |
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