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

This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …

This paper introduces an improved accelerated particle swarm optimization algorithm
(IAPSO) to solve constrained nonlinear optimization problems with various types of design …

The original particle swarm optimization (PSO) is not able to tackle constrained optimization
problems (COPs) due to the absence of constraint handling techniques. Furthermore, most …

High-dimensional optimization problems are increasingly pervasive in real-world
applications nowadays and become harder and harder to optimize due to increasingly …

Near-fault earthquakes have been largely studied in the last years by paying special
attention to the occurrence of a pulse-like horizontal seismic ground motion, and to the …

Large-scale liquid storage tanks are used worldwide for storing water, chemicals and fuels,
such as liquefied natural gas (LNG) and oil. Any major damage due to man-made or natural …

Abstract The Bouc–Wen (BW) model is a successful differential equations model used to
describe a wide range of nonlinear hysteretic systems. However, it is unable to describe …

An exhaustive review on the use of structured stochastic search approaches towards system
identification and digital filter design is presented in this paper. In particular, the paper …

Bolted steel to laminated bio-based material connections experience significant
performance challenges due to the nonlinear response and high stress concentrations at …