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 |
| Â | Max iterations | 500 |
| Â | Population size | 20 |
CS | P a | 0.3 |
| Â | Number of nest | 20 |
| Â | Max generation | 500 |
|  | β | 1 |
DE | Mutation strategy | DE/rand-to-best/1 |
| Â | Crossover strategy | binomial crossover |
| Â | F | 0.5 |
| Â | CR | 0.3 |
| Â | Numbers of population | 20 |
| Â | Max generation | 500 |