A hybrid CSS-GW algorithm for finding optimum location of multi semi-active MR dampers in buildings

Abstract

Selecting optimum locations to install the dampers has a significant importance to achieve the best performance of them in reducing dynamic responses. Different methods can be used to find the optimum location of dampers in structures. One of the most widely used methods is the meta-heuristic algorithms. In this paper, charged system search (CSS) and grey wolf (GW) algorithms are hybridised (HCSS-GW) to improve the searching abilities in finding optimum locations of the multi-magnetorheological (MR) dampers in buildings. To illuminate the validity of the proposed HCSS-GW algorithm in solving the other optimisation problems, some benchmark test functions are selected to compare the performance of it with both standard CSS and GW algorithms in evolving best solution. The obtained results indicate that the proposed algorithm is highly robust and accurate in comparison to its constitutive algorithms and can be utilised successfully in finding optimum locations of dampers in different buildings.