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Table 6 Parameters setting of algorithms QPSO, CS, and DE
From: Bio-inspired optimization algorithms applied to rectenna design
| Algorithms | Parameter | Value |
|---|---|---|
| QPSO | α | 0.75 |
| Max iterations | 500 | |
| Population size | 20 | |
| CS | P a | 0.3 |
| Number of nest | 20 | |
| Max generation | 500 | |
| β | 1 | |
| DE | Mutation strategy | DE/rand-to-best/1 |
| Crossover strategy | binomial crossover | |
| F | 0.5 | |
| CR | 0.3 | |
| Numbers of population | 20 | |
| Max generation | 500 |
