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