Table 3 Parameters used for PSO, DE and IWO algorithm
Parameter | PSO | DE | IWO |
|---|---|---|---|
Maximum population size | 100 | 100 | 100 |
Maximum number of generations | 2000 | 2000 | 2000 |
Stopping criteria (number of consecutive iterations with same value of objective function) | 50 | 50 | 50 |
c1, cognitive acceleration coefficient | 2 | – | – |
c2, social acceleration coefficient | 0.01 | – | – |
MF, mutation factor | – | 0.9 | – |
CR, crossover probability | – | 0.2 | – |
Initial size of population | – | – | 25 |
Maximum deviation, sdmax | – | – | 5 |
Minimum deviation, sdmin | – | – | 0 |
Nonlinear modulation index, n | – | – | 2 |
Sigma_initial | – | – | 1 |
Sigma_final | – | – | 0.001 |