A hybrid CSS-GW algorithm for finding optimum location of multi semi-active MR dampers in buildings
by Farzad Raeesi; Hedayat Veladi; Bahman F. Azar; Siamak Talatahari
International Journal of Modelling, Identification and Control (IJMIC), Vol. 35, No. 3, 2020

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.

Online publication date: Tue, 13-Apr-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com