Volume 10, Issue 2 (4-2020)
IJOCE 2020, 10(2): 231-260 |
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, Biabani Hamedani K, Barzinpour F. OPTIMAL SIZE AND GEOMETRY DESIGN OF TRUSS STRUCTURES UTILIZING SEVEN META-HEURISTIC ALGORITHMS: A COMPARATIVE STUDY. IJOCE 2020; 10 (2) :231-260
URL: http://ijoce.iust.ac.ir/article-1-432-en.html
URL: http://ijoce.iust.ac.ir/article-1-432-en.html
Abstract: (15553 Views)
Meta-heuristic algorithms are applied in optimization problems in a variety of fields, including engineering, economics, and computer science. In this paper, seven population-based meta-heuristic algorithms are employed for size and geometry optimization of truss structures. These algorithms consist of the Artificial Bee Colony algorithm, Cyclical Parthenogenesis Algorithm, Cuckoo Search algorithm, Teaching-Learning-Based Optimization algorithm, Vibrating Particles System algorithm, Water Evaporation Optimization, and a hybridized ABC-TLBO algorithm. The Taguchi method is employed to tune the parameters of the meta-heuristics. Optimization aims to minimize the weight of truss structures while satisfying some constraints on their natural frequencies. The capability and robustness of the algorithms is investigated through four well-known benchmark truss structure examples.
Keywords: structural optimization, optimal design, meta-heuristic algorithms, truss structures, natural frequency, Taguchi method.
Type of Study: Research |
Subject:
Optimal design
Received: 2020/03/18 | Accepted: 2020/03/18 | Published: 2020/03/18
Received: 2020/03/18 | Accepted: 2020/03/18 | Published: 2020/03/18
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
