Table 2.
Parameter settings of different algorithms.
| Algorithm | Parameter | Range |
|---|---|---|
| Elephant herding optimization (EHO) | α | 0.5 |
| β | 0.1 | |
| N | 5 | |
| n j | 7 | |
|
| ||
| Whale optimization algorithm (WOA) | a | Decreased from 2 to 0 |
| a 2 | Decreased from 2 to 1 | |
| b | 1 | |
|
| ||
| Equilibrium optimizer (EO) | a 1 | 2 |
| a 2 | 1 | |
| GP | 0.5 | |
|
| ||
| Harris hawk optimization (HHO) | β | 1.5 |
| E 0 | [−1,1] | |
|
| ||
| Crisscross optimization algorithm (CSO) | c 1 | [−1,1] |
| c 2 | [−1,1] | |
|
| ||
| Grey wolf optimizer (GWO) | a | Decreased from 2 to 0 |
| A | 4 | |
|
| ||
| Sailed fish optimizer (SFO) | e | 0.001 |
| Initial population for the sailfish | 9 | |
| Initial population for the sardine | 21 | |
|
| ||
| Improved elephant herding optimization (IEHO) | α | 0.5 |
| β | 0.1 | |
| N | 5 | |
| n j | 7 | |