Volume 12, Issue 1 And A (Transaction A: Civil Engineering March 2014)                   IJCE 2014, 12(1 And A): 1-13 | Back to browse issues page

XML Print


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

Kaveh A, Nasrolahi A. A new probabilistic particle swarm optimization algorithm for size optimization of spatial truss structures. IJCE 2014; 12 (1) :1-13
URL: http://ijce.iust.ac.ir/article-1-949-en.html
Abstract:   (10556 Views)
In this paper, a new enhanced version of the Particle Swarm Optimization (PSO) is presented. An important modification is made by adding probabilistic functions into PSO, and it is named Probabilistic Particle Swarm Optimization (PPSO). Since the variation of the velocity of particles in PSO constitutes its search engine, it should provide two phases of optimization process which are: exploration and exploitation. However, this aim is unachievable due to the lack of balanced particles’ velocity formula in the PSO. The main feature presented in the study is the introduction of a probabilistic scheme for updating the velocity of each particle. The Probabilistic Particle Swarm Optimization (PPSO) formulation thus developed allows us to find the best sequence of the exploration and exploitation phases entailed by the optimization search process. The validity of the present approach is demonstrated by solving three classical sizing optimization problems of spatial truss structures.
Full-Text [PDF 498 kb]   (3670 Downloads)    
Type of Study: Research Paper | Subject: Structure-Steel

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

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 | International Journal of Civil Engineering

Designed & Developed by : Yektaweb