Volume 2, Number 1 (3-2012)                   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. International Journal of Optimization in Civil Engineering. 2012; 2 (1) :81-101
URL: http://ijoce.iust.ac.ir/article-1-80-en.html

Abstract:   (4917 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]   (2316 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2012/05/27

© 2015 All Rights Reserved | Iran University of Science & Technology

Designed & Developed by : Yektaweb