Table 4.
Objective | Discover complex models |
---|---|
Fitness function | Vt - Vm |
Number of runs | 100,000 |
Stopping criteria | Vt ≥ 0.1 and Vm ≤ 0.0001 |
Population size | 200 |
Generations | 10,000 |
Selection | Stochastic uniform sampling |
Crossover | Uniform, by variable |
Crossover probability | 0.60 |
Mutation | Gaussian |
Mutation probability | 0.01 |