Although civil engineering problems are often characterized by significant levels of
complexity, they are generally approached and solved by combining several practitioners' …

Abstract In this study, Imperialistic Competitive Algorithm (ICA) is utilized for locating the
critical failure surface and computing the factor of safety (FOS) in a slope stability analysis …

Evolutionary computation (EC) is a widely used computational intelligence that facilitates the
formulation of a range of complex engineering problems. This study tackled two hybrid EC …

In the current study, the performance of three evolutionary algorithms, differential algorithm
(DE), evolution strategy (ES), and biogeography-based optimization algorithm (BBO), is …

In this study, a new explicit method has been suggested to predict the spectral acceleration
characteristic of strong ground-motions based on hybridizing genetic algorithm (GA) …

A new model is derived to predict the peak ground acceleration (PGA) utilizing a hybrid
method coupling artificial neural network (ANN) and simulated annealing (SA), called SA …

Large-scale lifelines in seismic-prone regions very frequently cross areas that are
characterized by active tectonic faulting, as complete avoidance might be techno …

Keeping the search space between the valid domains is one of the most important
necessities for most of the optimization problems. Among the optimization algorithms …

The ground-motion prediction equations (GMPEs) generally predict ground-motion
intensities such as peak ground acceleration (PGA), peak ground velocity (PGV), and …

We assessed the applicability of several ground‐motion models (GMMs) against Iran's local
data. Candidate GMMs are selected from those developed for shallow crustal regions such …