Research Article
An Effective Hybrid of Bees Algorithm and Differential Evolution Algorithm in Data Clustering
Table 6
The results of implementing the algorithms over Glass test data for 100 runs.
| Method | Result |
CPU time (S) | Best | Average | Worst |
| PSO-ACO-K | 199.53 | 199.53 | 199.53 | ~31 | PSO-ACO | 199.57 | 199.61 | 200.01 | ~35 | PSO | 270.57 | 275.71 | 283.52 | ~400 | SA | 275.16 | 282.19 | 287.18 | ~410 | TS | 279.87 | 283.79 | 286.47 | ~410 | GA | 278.37 | 282.32 | 286.77 | ~410 | ACO | 269.72 | 273.46 | 280.08 | ~395 | HBMO | 245.73 | 247.71 | 249.54 | ~390 | PSO_SA | 200.14 | 201.45 | 202.45 | ~38 | ACO-SA | 200.71 | 201.89 | 202.76 | ~49 | -Means | 215.74 | 235.5 | 255.38 | ~1 | MY proposed ALG. | 210.431 | 215.54 | 216.93 | ~34 |
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