A Hybrid Genetic Algorithm for Structural Optimization with Discrete Variables

Author

Guo, Pengfei ; Wang, Xuezhi ; Han, Yingshi

Author_Institution

Sch. of Civil & Archit. Eng., Liaoning Univ. of Technol., Jinzhou, China

fYear

2011

fDate

17-18 Sept. 2011

Firstpage

223

Lastpage

226

Abstract

On the basis of full stress design, a quasi-full stress design is presented for structural optimum design with discrete variables. The structural optimum design with discrete variables under stress and section size constraints can be directly calculated by this method. Through defining a quasi-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 quasi-full stress design method, is presented in this paper. The numerical results show that the method is superior to genetic algorithm and quasi-full stress design method.

Keywords

design engineering; genetic algorithms; stress analysis; structural engineering; discrete variables; hybrid genetic algorithm; quasi full stress design; structural optimization; Algorithm design and analysis; Design methodology; Educational institutions; Finite element methods; Genetic algorithms; Optimization; Stress; Discrete variable; Genetic algorithm; Quasi-full stress design; Structural optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet Computing & Information Services (ICICIS), 2011 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4577-1561-7

Type

conf

DOI

10.1109/ICICIS.2011.64

Filename

6063236