Research Article
A Novel Adaptive Elite-Based Particle Swarm Optimization Applied to VAR Optimization in Electric Power Systems
Table 9
Optimality and CPU time required by different methods (10 runs).
| ā | ā | AEPSO | PSO | CPSO | DE | GA |
| Best objective | MW loss | 1.783 | 1.865 | 1.829 | 1.857 | 1.862 | Time (s) | 33.9461 | 43.4231 | 48.3487 | 42.0286 | 70.3614 |
| Mean | MW loss | 1.840 | 1.875 | 1.8654 | 1.915 | 1.886 | Time (s) | 34.2277 | 46.8953 | 48.3953 | 44.9488 | 72.0624 |
| Worst objective | MW loss | 1.886 | 1.952 | 1.902 | 1.961 | 1.946 | Time (s) | 34.6663 | 48.4029 | 48.7938 | 47.7389 | 75.1891 |
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