Open AccessTruss’ topology and shape optimization by genetic algorithms
Author(s) -
Dmitrij Šešok,
Paulius Ragauskas
Publication year - 2021
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.2007.24249
Subject(s) - truss , topology optimization , genetic algorithm , meta optimization , mathematical optimization , algorithm , stability (learning theory) , global optimization , computer science , finite element method , optimization problem , topology (electrical circuits) , mathematics , engineering , structural engineering , combinatorics , machine learning
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.