Research Article
A Novel Adaptive Elite-Based Particle Swarm Optimization Applied to VAR Optimization in Electric Power Systems
Table 4
Performance of different methods used to minimize
based on 10 simulation results (number of iterations = 1000).
| ā | ā | Proposed method | PSO | CPSO | DE | GA |
| Best | | 0.0466 | 0.0258 | 65.8326 | | 1.9769 | Time (s) | 0.1152 | 0.0488 | 0.0545 | 0.6335 | 2.0670 |
| Mean | | 0.0633 | 0.0717 | 70.1498 | 0.0037 | 6.1595 | Time (s) | 0.1162 | 0.0493 | 0.0535 | 0.6406 | 2.1172 |
| Worst | | 0.0816 | 0.1474 | 77.7252 | 0.0072 | 9.0414 | Time (s) | 0.1157 | 0.0500 | 0.0543 | 0.6358 | 2.1768 |
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