Research Article
A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm
Table 4
Parameters used in the GA for predicting q.
| GA parameter | GA parameter that used for predicting q |
| Population | Population type: double vector; population size: 55; initial range: [0; 1] | Fitness scaling | Scaling function: rank | Selection | Selection function: roulette | Reproduction | Elite count: 3; crossover fraction: 0.85 | Mutation | Mutation function: Gaussian; shrink value: 1; scale: 0.1 | Crossover | Crossover function: scattered | Migration | Direction: forward; fraction: 0.8; interval: 40 | Hybrid function | Hybrid function: fminsearch | Algorithm setting | Initial penalty: 100; penalty factor: 980 | Stopping criteria | Generation: 1000; time limit: inf; fitness limit: inf; stall generation: 1000; stall time limit: inf |
|
|