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
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;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.17