Volume 13, Issue 2 (4-2023)
IJOCE 2023, 13(2): 219-236 |
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, Zaerreza A, Zaerreza J. VIBRATING PARTICLES SYSTEM-STATISTICAL REGENERATION MECHANISM ALGORITHM (VPS-SRM) FOR SIZING OPTIMIZATION OF STRUCTURES WITH DISCRETE VARIABLES. IJOCE 2023; 13 (2) :219-236
URL: http://ijoce.iust.ac.ir/article-1-551-en.html
URL: http://ijoce.iust.ac.ir/article-1-551-en.html
1- School of Civil Engineering, Iran University of Science and Technology, PO Box 16846- 13114, Iran
2- Department of Civil Engineering, University of Tabriz, Tabriz, Iran
2- Department of Civil Engineering, University of Tabriz, Tabriz, Iran
Abstract: (8183 Views)
Vibrating particles system (VPS) is a swarm intelligence-based optimizer inspired by free vibration with a single degree of freedom systems. VPS is one of the well-known algorithms in structural optimization problems. However, its performance can be improved to find a better solution. This study introduces an improved version of the VPS using the statistical regeneration mechanism for the optimal design of the structures with discrete variables. The improved version is named VPS-SRM, and its efficiency is tested in the three real-size optimization problems. The optimization results reveal the capability and robustness of the VPS-SRM for the optimal design of the structures with discrete sizing variables.
Keywords: optimal design, metaheuristic, vibrating particles system, discrete variable, size optimization, frames, trusses
Type of Study: Research |
Subject:
Optimal design
Received: 2023/01/12 | Accepted: 2023/04/21 | Published: 2023/04/21
Received: 2023/01/12 | Accepted: 2023/04/21 | Published: 2023/04/21
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
