DocumentCode :
2558530
Title :
Application of artificial bee colony algorithm for structural topology optimization
Author :
Lee, Chae-Ho ; Park, Ji-Yong ; Park, Jae-Yong ; Han, Seog-Young
Author_Institution :
Dept. of Mech. Eng., Hanyang Univ., Seoul, South Korea
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1023
Lastpage :
1025
Abstract :
Artificial bee colony algorithm (ABCA) as one of swarm intelligence methods and finite element analysis are first adopted for structural topology optimization. The objective of the paper is to examine the effectiveness and applicability of the suggested ABCA in structural topology optimization. This paper describes considerable modifications made to the ABCA in order to solve discrete topology optimization problems. The desirable conclusions are obtained through the results of the examples based on the suggested ABCA.
Keywords :
artificial intelligence; finite element analysis; optimisation; artificial bee colony algorithm; discrete topology optimization; finite element analysis; structural topology optimization; swarm intelligence; Algorithm design and analysis; History; Indexes; Materials; Optimization; Structural beams; Topology; Artificial bee colony algorithm; Finite element method; Roulette wheel method; Topology optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
ISSN :
2157-9555
Print_ISBN :
978-1-4577-2130-4
Type :
conf
DOI :
10.1109/ICNC.2012.6234632
Filename :
6234632
Link To Document :
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