Research Article
A Novel Adaptive Elite-Based Particle Swarm Optimization Applied to VAR Optimization in Electric Power Systems
Table 6
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 | | 0.0004 | 0.0195 | | 0.6151 | 0.3880 | Time (s) | 0.1941 | 0.0820 | 0.1221 | 0.8560 | 2.7651 |
| Mean | | 0.0129 | 0.0779 | 0.1293 | 0.6953 | 0.7267 | Time (s) | 0.1927 | 0.1031 | 0.1157 | 0.8649 | 2.7097 |
| Worst | | 0.0472 | 0.1687 | | 0.8114 | 0.9426 | Time (s) | 0.1922 | 0.1033 | 0.1144 | 0.8706 | 2.5987 |
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