Table 10 AG parameters
Parameter/step | Value/Technique |
---|---|
Population size | 20 |
Maximum iteration | 50 |
Crossover probability | 0.9 |
Mutation probability | 0.001 |
Beta | 1 |
Sigma | 0.1 |
Gamma | 0.1 |
Coding | Binary |
Selection | Uniforme |
Crossover | Wheel selection |
Mutation | Uniform |
Parameter/step | Value/Technique |
---|---|
Population size | 20 |
Maximum iteration | 50 |
Crossover probability | 0.9 |
Mutation probability | 0.001 |
Beta | 1 |
Sigma | 0.1 |
Gamma | 0.1 |
Coding | Binary |
Selection | Uniforme |
Crossover | Wheel selection |
Mutation | Uniform |