Volume 13, Issue 1 (1-2023)                   2023, 13(1): 127-142 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Paknahad M, Hosseini P, Kaveh A. A SELF-ADAPTIVE ENHANCED VIBRATING PARTICLE SYSTEM ALGORITHM FOR CONTINUOUS OPTIMIZATION PROBLEMS. International Journal of Optimization in Civil Engineering 2023; 13 (1) :127-142
URL: http://ijoce.iust.ac.ir/article-1-545-en.html
Abstract:   (5016 Views)
Optimization methods are essential in today's world. Several types of optimization methods exist, and deterministic methods cannot solve some problems, so approximate optimization methods are used. The use of approximate optimization methods is therefore widespread. One of the metaheuristic algorithms for optimization, the EVPS algorithm has been successfully applied to engineering problems, particularly structural engineering problems. As this algorithm requires experimental parameters, this research presents a method for determining these parameters for each problem and a self-adaptive algorithm called the SA-EVPS algorithm. In this study, the SA-EVPS algorithm is compared with the EVPS algorithm using the 72-bar spatial truss structure and three classical benchmarked functions
Full-Text [PDF 1416 kb]   (2254 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2022/11/29 | Accepted: 2023/01/11 | Published: 2023/01/11

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb