Many hysteresis models have been proposed for the simulation of the nonlinear behavior of
structures each of which has certain advantages depending on specific applications and …

Identification of nonlinear hysteretic systems has practical significance for the prediction of
structural response. This paper develops a novel parameter identification method for …

Structural members exhibit hysteretic behavior under cyclic loading. Among the hysteresis
models available in the literature, the differential model proposed by Bouc-Wen is most …

Most of the published literature concerned with the parameter estimation of the Bouc–Wen
model of hysteresis via evolutionary algorithms uses a single objective function (the mean …

Hysteresis is a natural phenomenon that widely exists in structural and mechanical systems.
The characteristics of structural hysteretic behaviors are complicated. Therefore, numerous …

Particle swarm optimization (PSO), which is a new robust stochastic evolutionary
computational algorithm based on the movement and intelligence of swarms, is proposed to …

Hysteresis is a common phenomenon arising in many engineering applications. It describes
a memory-based relation between the restoring force and the displacement. Identification of …

By normalizing the internal hysteresis variable and eliminating the redundant parameter, the
normalized Bouc-Wen model is considered to be an improved and more reasonable form of …

In most cases, the standard optimization algorithms are capable of identifying the required
number of parameters for a specific design problem; however, this process is difficult and …

The tree-seed algorithm (TSA) is a new type of heuristic algorithms based on the simulation
of trees propagation. It has been applied to solve continuous optimization problems …