Volume 3, Issue 1 (3-2013)
IJOCE 2013, 3(1): 131-149 |
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:
Shahrouzi M, Yousefi A. FIXED-WEIGHT EIGENVALUE OPTIMIZATION OF TRUSS STRUCTURES BY SWARM INTELLIGENT ALGORITHMS. IJOCE 2013; 3 (1) :131-149
URL: http://ijoce.iust.ac.ir/article-1-123-en.html
URL: http://ijoce.iust.ac.ir/article-1-123-en.html
Abstract: (24828 Views)
Meta-heuristics have already received considerable attention in various engineering optimization fields. As one of the most rewarding tasks, eigenvalue optimization of truss structures is concerned in this study. In the proposed problem formulation the fundamental eigenvalue is to be maximized for a constant structural weight. The optimum is searched using Particle Swarm Optimization, PSO and its variant PSOPC with Passive Congregation as a recent meta-heuristic. In order to make further improvement an additional hybrid PSO with genetic algorithm is also proposed as PSOGA with the idea of taking benefit of various movement types in the search space. A number of benchmark examples are then treated by the algorithms. Consequently, PSOGA stood superior to the others in effectiveness giving the best results while PSOPC had more efficiency and the least fit ones belonged to the Standard PSO.
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
