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 |