Research Article
A Novel Adaptive Elite-Based Particle Swarm Optimization Applied to VAR Optimization in Electric Power Systems
Table 3
Performance of different methods used to minimize
based on 10 simulation results (convergence tolerance = 0.001).
| | | Proposed method | PSO | CPSO | DE | GA |
| Shortest time | | | | — | | — | Iterations | 6543 | 6931 | — | 1167 | — | Time (s) | 0.6641 | 0.3037 | — | 0.7361 | — |
| Mean | | | | — | | — | Iterations | 7681.3 | 8532.3 | — | 1274.7 | — | Time (s) | 0.7787 | 0.4415 | — | 1.0411 | — |
| Longest time | | | | — | | — | Iterations | 8759 | 9099 | — | 1680 | — | Time (s) | 0.8879 | 0.6239 | — | 1.4807 | — |
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