Title :
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
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;
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
DOI :
10.1109/ICICIS.2011.64