Volume 13, Issue 2 (4-2023)
IJOCE 2023, 13(2): 207-217 |
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:
Paknahad M, Hosseini P, Hakim S. SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE. IJOCE 2023; 13 (2) :207-217
URL: http://ijoce.iust.ac.ir/article-1-550-en.html
URL: http://ijoce.iust.ac.ir/article-1-550-en.html
1- Faculty of Engineering, Mahallat Institute of Higher Education, Mahallat, Iran
2- Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, University Tun Hussein onn Malaysia (UTHM), Malaysia
2- Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, University Tun Hussein onn Malaysia (UTHM), Malaysia
Abstract: (8084 Views)
Metaheuristic algorithms have become increasingly popular in recent years as a method for determining the optimal design of structures. Nowadays, approximate optimization methods are widely used. This study utilized the Self Adaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm as an approximate optimization method, since the EVPS algorithm requires experimental parameters. As a well-known and large-scale structure, the 582-bar spatial truss structure was analyzed using the finite element method, and optimization processes were implemented using MATLAB. In order to obtain weight optimization, the self-adaptive enhanced vibration particle system (SA-EVPS) is compared with the EVPS algorithm.
Keywords: Size optimization, Self-Adaptive algorithm, SA-EVPS algorithm, 582-bar spatial truss, discrete optimization problems.
Type of Study: Research |
Subject:
Optimal design
Received: 2023/01/11 | Accepted: 2023/04/21 | Published: 2023/04/21
Received: 2023/01/11 | 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. |
