This paper presents a useful approach to optimally design magnetorheological (MR)
dampers used in structural buildings. To fulfill this aim, damper parameters are regarded as …

In this paper, magneto-rheological (MR) dampers are designed optimally for different control
objectives by considering different distributions for dampers within structure stories. The …

This article presents a new modified cuckoo search algorithm with dynamic discovery
probability and step-size factor for optimizing the Bouc–Wen Model in magnetorheological …

Particle swarm optimization (PSO) technique has achieved a considerable success in
solving nonlinear, nondifferentiable, multi-modal optimization problems. Currently, PSO is …

In the area of semi-active control of civil structures, Magneto-Rheological (MR) damper has
been an efficient mechanism for reducing the seismic response of structures. In this paper …

As one of the most important components in the semi-active damping system, the
performance of MR damper directly determines the damping capacity of the damping …

In the current research, the imperialist competitive algorithm is dramatically enhanced and a
new optimization method dubbed as Enriched Imperialist Competitive Algorithm (EICA) is …

The structural parameters of the magnetorheological (MR) damper significantly affect the
output damping force and dynamic range. This paper presents a design optimization method …

In the case of designing control devices in a building, reliance on experimental formulation
or engineering concepts without using optimization algorithms leads to non-optimal …

In this paper, a new hybrid algorithm based on charged system search (CSS) and colliding
bodies optimization (CBO) is proposed to identify the parameters of a highly nonlinear semi …