Research Article
An Effective Hybrid of Bees Algorithm and Differential Evolution Algorithm in Data Clustering
Table 3
The results of implementing the algorithms over Iris test data for 100 runs.
| Method | Result |
CPU time (S) | Best | Average | Worst |
| PSO-ACO-K | 96.650 | 96.650 | 96.650 | ~16 | PSO-ACO | 96.654 | 96.654 | 96.674 | ~17 | PSO | 96.8942 | 97.232 | 97.897 | ~30 | SA | 97.457 | 99.957 | 102.01 | ~32 | TS | 97.365 | 97.868 | 98.569 | ~135 | GA | 113.986 | 125.197 | 139.778 | ~140 | ACO | 97.100 | 97.171 | 97.808 | ~75 | HBMO | 96.752 | 96.953 | 97.757 | ~82 | PSO_SA | 96.66 | 96.67 | 96.678 | ~17 | ACO-SA | 96.660 | 96.731 | 96.863 | ~25 | -Means | 97.333 | 106.05 | 120.45 | 0.4 | MY proposed ALG. | 96.5403 | 96.5412 | 96.5438 | ~15 |
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