Volume 14, Issue 1 (1-2024)
IJOCE 2024, 14(1): 1-15 |
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:
Yadbayza-Moghaddam A, Gholizadeh S. A NEW HYBRID METAHEURISTIC ALGORITHM FOR SIZE OPTIMIZATION OF DISCRETE STRUCTURES. IJOCE 2024; 14 (1) :1-15
URL: http://ijoce.iust.ac.ir/article-1-572-en.html
URL: http://ijoce.iust.ac.ir/article-1-572-en.html
1- Department of Civil Engineering, Urmia University, Urmia, Iran
Abstract: (6270 Views)
The primary objective of this paper is to propose a novel technique for hybridizing various metaheuristic algorithms to optimize the size of discrete structures. To accomplish this goal, two well-known metaheuristic algorithms, particle swarm optimization (PSO) and enhanced colliding bodies optimization (ECBO) are hybridized to propose a new algorithm called hybrid PSO-ECBO (HPE) algorithm. The performance of the new HPE algorithm is investigated in solving the challenging structural optimization problems of discrete steel trusses and an improvement in results has been achieved. The numerical results demonstrate the superiority of the proposed HPE algorithm over the original versions of PSO, ECBO, and some other algorithms in the literature.
Keywords: Structural optimization, metaheuristic, particle swarm optimization, colliding body optimization, truss structures.
Type of Study: Research |
Subject:
Optimal design
Received: 2024/01/1 | Accepted: 2024/01/21 | Published: 2024/01/21
Received: 2024/01/1 | Accepted: 2024/01/21 | Published: 2024/01/21
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
