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Dynamic topology optimization based on ant colony optimization

Authors
Jo, Hyeon-CheolYoo, Kwang-SeonPark, Jae-YongHan, Seog-Young
Issue Date
May-2012
Publisher
IEEE
Keywords
Ant colony optimization (ACO); Dynamic topology optimization; Finite element method (FEM); Natural frequency
Citation
Proceedings - International Conference on Natural Computation, pp.763 - 766
Indexed
SCOPUS
Journal Title
Proceedings - International Conference on Natural Computation
Start Page
763
End Page
766
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/165653
DOI
10.1109/ICNC.2012.6234634
ISSN
2157-9555
Abstract
A modified ant colony optimization algorithm implementing a new definition of pheromone and a new cooperation mechanism between ants is presented in this paper. The study aims at improving the suitability and computational efficiency of the ant colony optimization algorithm in dynamic topology optimization problems. The natural frequencies of the structure must be maximized yet satisfying a constraint on the final volume. Optimization results obtained in three test cases indicate that modified ACO is more efficient and robust than ACO in solving dynamic topology optimization problems.
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