Volume 6, Issue 2 (6-2016)                   2016, 6(2): 245-268 | Back to browse issues page

XML Print

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

Esfandiary M J, Sheikholarefin S, Rahimi Bondarabadi H A. A COMBINATION OF PARTICLE SWARM OPTIMIZATION AND MULTI-CRITERION DECISION-MAKING FOR OPTIMUM DESIGN OF REINFORCED CONCRETE FRAMES. International Journal of Optimization in Civil Engineering 2016; 6 (2) :245-268
URL: http://ijoce.iust.ac.ir/article-1-248-en.html
Abstract:   (17028 Views)

Structural  design  optimization  usually  deals  with  multiple  conflicting  objectives  to  obtain the minimum construction cost, minimum weight, and maximum safety of the final design. Therefore, finding the optimum design is hard and time-consuming for  such problems.  In this paper, we borrow the basic concept of multi-criterion decision-making and combine it with  Particle  Swarm  Optimization  (PSO)  to  develop  an  algorithm  for  accelerating convergence  toward  the  optimum  solution  in  structural  multi-objective  optimization scenarios.  The effectiveness of the proposed algorithm was illustrated in some benchmark reinforced concrete (RC) optimization problems. The main goal was to minimize the cost or weight of structures while satisfying all design requirements imposed by design codes.  The results confirm the ability of the proposed algorithm to efficiently find optimal solutions for structural optimization problems.

Full-Text [PDF 1110 kb]   (4477 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2015/12/18 | Accepted: 2015/12/18 | Published: 2015/12/18

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.

© 2023 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb