Truss’ topology and shape optimization by genetic algorithms
Articles
Dmitrij Šešok
Vilnius Gediminas Technical University
Paulius Ragauskas
Vilnius Gediminas Technical University
Published 2021-06-15
https://doi.org/10.15388/LMR.2007.24249
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Keywords

global optimization
finite element method
genetic algorithms
topology optimization of truss systems
shape optimization of truss systems

How to Cite

Šešok, D. and Ragauskas, P. (2021) “Truss’ topology and shape optimization by genetic algorithms”, Lietuvos matematikos rinkinys, 47(spec.), pp. 484–488. doi:10.15388/LMR.2007.24249.

Abstract

In the paper the global optimization problem of truss systems is studied.  The genetic algorithms are employed for the optimization. As the objective function the structure mass is treated; the constraints include equilibrium, local stability and other requirements.  All the truss system characteristics needed for genetic algorithm are obtained via finite element solution. Topology optimization of truss system is performed using original modified genetic algorithm, while the shape optimization – using ordinary genetic algorithm. Numerical solutions are presented. The obtained solutions are compared with global extremes obtained using full search algorithm.  All the numerical examples are solved using original software.

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