DocumentCode
412593
Title
A bit-array representation GA for structural topology optimization
Author
Wang, Sheng Yin ; Tai, Kang
Author_Institution
Sch. of Mech. & Production Eng., Nanyang Technol. Univ., Singapore
Volume
1
fYear
2003
fDate
8-12 Dec. 2003
Firstpage
671
Abstract
A bit-array representation method for structural topology optimization using the GA is proposed. The importance of design connectivity is further emphasized and a hierarchical violation penalty method is proposed to penalize the violated constraint functions so that the problem of representation degeneracy can be overcome and the GA search can be driven towards the combination of better structural performance, less unusable material and fewer connected objects in the design domain. An identical initialization method is also proposed to test the performance of the GA operators. With the appropriately selected GA operators, the bit-array representation GA is applied to the structural topology optimization problems of minimum weight. Numerical results demonstrate that the present GA can achieve better accuracy with less computational cost and suggest that the GA performance can be significantly improved by handling the design connectivity properly.
Keywords
genetic algorithms; numerical analysis; structural engineering computing; topology; bit-array representation GA; computational cost; connectivity analysis; constraint function; design connectivity problem; genetic algorithm; hierarchical violation penalty; minimum weight design problem; performance testing; population initialization method; representation degeneracy; structural topology optimization; Computational efficiency; Design optimization; Numerical simulation; Optimization methods; Optimized production technology; Power generation economics; Production engineering; Solids; Testing; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN
0-7803-7804-0
Type
conf
DOI
10.1109/CEC.2003.1299640
Filename
1299640
Link To Document