Dynamic topology optimization based on ant colony optimization

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 optim...

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Bibliographic Details
Published in2012 8th International Conference on Natural Computation pp. 763 - 766
Main Authors Hyeon-Cheol Jo, Kwang-Seon Yoo, Jae-Yong Park, Seog-Young Han
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Algorithm design and analysis
Ant colony optimization
Ant colony optimization (ACO)
Dynamic topology optimization
Finite element method (FEM)
Finite element methods
Heuristic algorithms
Materials
Natural frequency
Optimization
Topology
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Summary: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.
ISBN:9781457721304
1457721309
ISSN:2157-9555
DOI:10.1109/ICNC.2012.6234634