| Parameter | Value |
| Number of iterations | 200 |
| Size of population | 100 |
| Selection | Stochastic uniform selection function. |
| Elitism | Elitism is implemented. The best two chromosomes are guaranteed to survive to the next population. |
| Crossover | Scattered crossover. |
| Crossover fraction | 0.8 |
| Mutation | Gaussian mutation. |
| Stopping criterion | It stops if the weighted average relative change in the best fitness function value over 100 generations is less than or equal to |