Open Access
Table 2
Parameters configuration of each method
| Algorithm | Name of parameter | Value |
|---|---|---|
| EMO-GOA | The size of population (N) | 30 |
| Maximum number of iterations (maxIter) | 100 | |
| The maximum value of c (c max) | 1 | |
| The minimum value of c (c min) | 0.004 | |
| The slack variable ε | 0.001 | |
| The strength of attraction u; | 0.5 | |
| The attractive length scale τ; | 1.5 | |
| NS-MOGOA | Has the same parameters as EMO-GOA except that there are no slack variables ε | |
| MOGOA | Has the same parameters as EMO-GOA except that there are no slack variables ε | |
| SPEA2 | The size of population (N) | 30 |
| Maximum number of iterations (maxIter) | 100 | |
| The probability of crossover (P c) | 0.9 | |
| The probability of mutation (P m) | 0.1 | |
| The crossover distribution index for SBX (σ) | 20 | |
| The mutation distribution index for PM (H) | 20 | |
| GA | The size of population (N) | 30 |
| Maximum number of iterations (maxIter) | 100 | |
| The mutation rate (R m) | 0.2 | |
| The crossover rate (R c) | 0.9 | |
| PSO | The size of population (N) | 30 |
| Maximum number of iterations (maxIter) | 100 | |
| Learning factor (c 1) | 2 | |
| Learning factor (c 2) | 2 | |
| Inertia weight (w) | 1.4 |
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