Volume 2, Issue 1 (3-2012)                   IJOCE 2012, 2(1): 81-101 | Back to browse issues page

XML Print


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

Kazemzadeh Azad S, Kazemzadeh Azad S, Jayant Kulkarni A. STRUCTURAL OPTIMIZATION USING A MUTATION-BASED GENETIC ALGORITHM. IJOCE 2012; 2 (1) :81-101
URL: http://ijoce.iust.ac.ir/article-1-80-en.html
Abstract:   (30238 Views)
The present study is an attempt to propose a mutation-based real-coded genetic algorithm (MBRCGA) for sizing and layout optimization of planar and spatial truss structures. The Gaussian mutation operator is used to create the reproduction operators. An adaptive tournament selection mechanism in combination with adaptive Gaussian mutation operators are proposed to achieve an effective search in the design space. The standard deviation of design variables is used as a key factor in the adaptation of mutation operators. The reliability of the proposed algorithm is investigated in typical sizing and layout optimization problems with both discrete and continuous design variables. The numerical results clearly indicated the competitiveness of MBRCGA in comparison with previously presented methods in the literature.
Full-Text [PDF 433 kb]   (8606 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2012/05/27 | Published: 2012/03/15

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 | Iran University of Science & Technology

Designed & Developed by : Yektaweb