What is it about?
In this article, multi-objective optimization of braced frames is investigated using a novel hybrid algorithm. Initially, the applied evolutionary algorithms, ant colony optimization (ACO) and genetic algorithm (GA) are reviewed, followed by developing the hybrid method. A dynamic hybridization of GA and ACO is proposed as a novel hybrid method which does not appear in the literature for optimal design of steel braced frames.
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Why is it important?
The trade-off between the two objective functions are obtained for the numerical example. To make the final decision easier for designers, practical constraint is applied to obtain practical topologies. The achieved results show the capability of HGAC to find optimal topologies and sections for the elements.
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This page is a summary of: Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization, Frontiers of Structural and Civil Engineering, December 2016, Springer Science + Business Media, DOI: 10.1007/s11709-016-0368-4.
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