The applied tunning parameters for the five learning algorithms embedded with the ANFIS and RANFIS used in this study
| Meta-Heuristic optimization method . | Parameter . | Value . | Maximum epoch . |
|---|---|---|---|
| FA | Mutation Coefficient | 0.2 | 2,000 |
| Attraction Coefficient | 2 | ||
| Light Absorption Coefficient | 1 | ||
| Mutation Coefficient Damping Ratio | 0.98 | ||
| Search Space Range | [−10, 10] | ||
| PSO | Initial inertia weight | 1 | 2,000 |
| Inertia Weight Damping Ratio | 0.98 | ||
| Cognitive acceleration (C1) | 1 | ||
| Social acceleration (C2) | 2 | ||
| Search range | [−10, 10] | ||
| GA | Crossover | 0.6 | 2,000 |
| Mutation | 0.8 | ||
| Selection Pressure | 8 | ||
| Search Space Range | [−10, 10] | ||
| MFO | Search Space Range | [−10, 10] | 2,000 |
| WOA | Search Space Range | [−10, 10] | 2,000 |
| Meta-Heuristic optimization method . | Parameter . | Value . | Maximum epoch . |
|---|---|---|---|
| FA | Mutation Coefficient | 0.2 | 2,000 |
| Attraction Coefficient | 2 | ||
| Light Absorption Coefficient | 1 | ||
| Mutation Coefficient Damping Ratio | 0.98 | ||
| Search Space Range | [−10, 10] | ||
| PSO | Initial inertia weight | 1 | 2,000 |
| Inertia Weight Damping Ratio | 0.98 | ||
| Cognitive acceleration (C1) | 1 | ||
| Social acceleration (C2) | 2 | ||
| Search range | [−10, 10] | ||
| GA | Crossover | 0.6 | 2,000 |
| Mutation | 0.8 | ||
| Selection Pressure | 8 | ||
| Search Space Range | [−10, 10] | ||
| MFO | Search Space Range | [−10, 10] | 2,000 |
| WOA | Search Space Range | [−10, 10] | 2,000 |