DocumentCode :
1643540
Title :
Design structures subjected to uncertainty using wide bezier curve
Author :
Wang, N.F. ; Yang, Y.W.
Author_Institution :
Sch. of Civil & Environ. Eng., Nanyang Technol. Univ., Singapore
fYear :
2009
Firstpage :
3141
Lastpage :
3148
Abstract :
Genetic algorithms (GA) do have some advantages over gradient-based methods for solving topology design optimization problems. However, their success depends largely on the geometric representation used. In this work, an morphological representation of geometry using wide Bezier curve is applied and evaluated to be efficient and effective in producing good results via a structure design problem subjected to uncertainty. A wide Bezier curve is a Bezier curve with width or cross section. Based on the morphology of living creatures, a geometric representation scheme has been developed that works by specifying a skeleton which defines the underlying topology/connectivity of a structural continuum together with segments of material surrounding the skeleton. This scheme facilitates the transmission of topological and shape characteristics across generations in the evolutionary process and amplify the representation variability. The proposed scheme coupled with a GA is presented to perform topology optimization.
Keywords :
genetic algorithms; topology; genetic algorithms; gradient-based methods; morphological representation; optimization; topology; wide bezier curve; Character generation; Couplings; Design optimization; Genetic algorithms; Geometry; Morphology; Shape; Skeleton; Topology; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
Type :
conf
DOI :
10.1109/CEC.2009.4983341
Filename :
4983341
Link To Document :
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