DocumentCode
3042575
Title
An Imitative Full Stress Genetic Algorithm for Structural Optimization with Discrete Variables
Author
Pengfei, Guo ; Xuezhi, Wang ; Yingshi, Han
Author_Institution
Liaoning Univ. of Technol., Jinzhou, China
Volume
1
fYear
2009
fDate
19-21 May 2009
Firstpage
579
Lastpage
583
Abstract
On the basis of full stress design, an imitative full stress design method was presented for structural optimum design with discrete variables .The structural optimum design with discrete variables under stress and section size constraints could be directly calculated by this method. Through defining an imitative full stress design operator in the genetic algorithm, a hybrid genetic algorithm for structural optimization with discrete variables, combined the advances of both genetic algorithm and the imitative full stress design method, is presented in this paper. The numerical results show that the method is superior to the genetic algorithm and the imitative full stress design method.
Keywords
genetic algorithms; stress measurement; structural engineering; hybrid genetic algorithm; imitative full stress design method; structural optimization; Algorithm design and analysis; Constraint optimization; Curve fitting; Design methodology; Design optimization; Genetic algorithms; Intelligent structures; Intelligent systems; Stress; Structural shapes; discrete variable; genetic algorithm; stress; structural optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.17
Filename
5209063
Link To Document