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 |