Research Article
Improved Performance Analysis of PV Array Model Using Flower Pollination Algorithm and Gray Wolf Optimization Algorithm
Table 2
Parameter settings of proposed GWO/FPA.
| | Standard parameters of optimization algorithms | | Parameter | GWO value | FPA value |
| | Maximum iteration number | 50 | 100 | | Population size | 10 | 50 | | Number of decision variables | 5 | ā | | Stopping criteria | 100 iterations | 200 iterations | | Switching probability | ā | 0.8 |
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