Volume 11, Issue 1 (1-2021)
IJOCE 2021, 11(1): 31-54 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Kaveh A, Khodadadi N, Talatahari S. A COMPARATIVE STUDY FOR THE OPTIMAL DESIGN OF STEEL STRUCTURES USING CSS AND ACSS ALGORITHMS. IJOCE 2021; 11 (1) :31-54
URL: http://ijoce.iust.ac.ir/article-1-464-en.html
URL: http://ijoce.iust.ac.ir/article-1-464-en.html
Abstract: (11018 Views)
In this article, an Advanced Charged System Search (ACSS) algorithm is applied for the optimum design of steel structures. ACSS uses the idea of Opposition-based Learning and Levy flight to enhance the optimization abilities of the standard CSS. It also utilizes the information of the position of each charged particle in the subsequent search process to increase the convergence speed. The objective function is to find a minimum weight by choosing suitable sections subjected to strength and displacement requirements specified by the American Institute of Steel Construction (AISC) standard subject to the loads defined by Load Resistance Factor Design (LRFD). To show the performance of the ACSS, four steel structures with different number of elements are optimized. The results, efficiency, and accuracy of the ACSS algorithm are compared to other meta-heuristic algorithms. The results show the superiority of the ACSS compared to the other considered algorithms.
Keywords: Advanced charged system search, Optimal design, Steel structures, Opposition-based Learning, Levy flight
Type of Study: Research |
Subject:
Optimal design
Received: 2021/01/31 | Accepted: 2021/01/1 | Published: 2021/01/1
Received: 2021/01/31 | Accepted: 2021/01/1 | Published: 2021/01/1
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
