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Weight minimization of spatial trusses with genetic algorithm

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A genetic algorithm is proposed to solve the weight minimization problem of spatial truss structures considering size and shape design variables. A very recently developed metaheuristic method called JAYA algorithm (JA) is implemented in this study for optimization of truss structures. The main feature of JA is that it does not require setting algorithm specific parameters. The algorithm has a very simple formulation where the basic idea is to approach the best solution and escape from the worst solution. Analyses of structures are performed by a finite element code in MATLAB. The effectiveness of JA algorithm is demonstrated through benchmark spatial truss 39-bar, and compare with results in references.
Wydawca
Rocznik
Strony
238--243
Opis fizyczny
Bibliogr. 8 poz., rys., tab.
Twórcy
  • Czestochowa University of Technology, Poland
  • Czestochowa University of Technology, Poland
Bibliografia
  • 1.Dede, T., Ayvaz, Y., 2015. Combined size and shape optimization of structures with a new meta-heuristic algorithm. Applied Soft Computing, 28, 250–258.
  • 2.Dede, T., 2018. Jaya algorithm to solve single objective size optimization problem for steel grillage structures. Steel and Composite Structures, 26(2), 163–170.
  • 3.Degertekin, S.O., Lamberti, L., Ugur, I.B., 2018. Sizing, layout and topology design optimization of truss structures using the Jaya algorithm. Appl. Soft Comput. J., 70, 903–928.
  • 4.Grzywiński, M., Dede, T., Özdemir, Y.I., 2019. Optimization of the braced dome structures by using Jaya algorithm with frequency constraints. Steel and Composite Structures, 30(1), 47–55.
  • 5.Rao, R.V., 2016. Jaya, A simple and new optimization algorithm for solving constrained and unconstrained optimization problems. Int. J. Ind. Eng. Comput., 7, 19–34.
  • 6.Rao, R.V., Waghmare, G.G., 2017. A new optimization algorithm for solving complex constrained design optimization problems. Eng. Optim., 49(1), 60–83.
  • 7.Wang, D., Zhang, W., and Jiang, J., 2002. Combined shape and sizing optimization of truss structures. Computational Mechanics, 29(4-5), 307–312.
  • 8.Grzywiński, M., Selejdak, J., 2019. Truss optimization using genetic algorithm. Proceedings of Academicsera 48th International Conference, New York, Institute For Research and Journals, 1-3.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-62443d46-995f-493b-ac57-989d5870394d
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