S Talatahari, NM Rahbari, A Kaveh - KSCE Journal of Civil Engineering, 2013 - Springer
In this article, a new two-stage hybrid optimization method based on the Particle Swarm Optimization and the Big Bang-Big Crunch algorithm (BB-BC) is introduced for identification …
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 …
R Rosli, Z Mohamed - Journal of Vibration and Control, 2021 - journals.sagepub.com
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 …
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 …
S Talatahari, NM Rahbari - Mechanical Systems and Signal Processing, 2015 - Elsevier
In the current research, the imperialist competitive algorithm is dramatically enhanced and a new optimization method dubbed as Enriched Imperialist Competitive Algorithm (EICA) is …
S Talatahari, A Kaveh, N Mohajer Rahbari - Journal of mechanical science …, 2012 - Springer
In this article, the charged system search (CSS) optimization method is improved to identify the parameters of a non-linear hysteretic Bouc-Wen differential model. The CSS is suitable …
In this paper, a new opposition based charged system search (CSS) is proposed to be used as a parameter identification of highly nonlinear semi-active magneto-rheological damper …
In this section, as well as explaining the building control systems and their properties, the displacement and acceleration values were found in the case that TMD is not used and …