OPTIMUM DESIGN OF STEEL STRUCTURES FOR EARTHQUAKE LOADING BY GREY WOLF ALGORITHM

The main aim of this study is to propose an efficient computational strategy for optimization of steel structures subject to earthquake loading. To achieve the optimization task, two popular metaheuristics and the newly developed grey wolf algorithm (GWA) are employed. To reduce the computational burden of the process, radial basis function (RBF) and back propagation (BP) neural networks are used for evaluation the seismic responses of structures subject to three earthquakes. The numerical results show that GWA incorporating BP neural network provides the best results in comparison with the other ones.