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Discrete Optimization of Truss Structures Using Variable Neighborhood Search (CROSBI ID 302922)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Sedlar, Damir ; Lozina, Zeljan ; Tomac, Ivan Discrete Optimization of Truss Structures Using Variable Neighborhood Search // Iranian Journal of Science and Technology-Transactions of Civil Engineering, 46 (2022), 1249-1264. doi: 10.1007/s40996-021-00704-w

Podaci o odgovornosti

Sedlar, Damir ; Lozina, Zeljan ; Tomac, Ivan

engleski

Discrete Optimization of Truss Structures Using Variable Neighborhood Search

Variable neighborhood search (VNS) is a metaheuristic approach for solving combinatorial and global optimization problems in discrete search space. This paper explores the possibility of applying VNS and its several extensions to the optimization of truss structures considering the cross sections of the members as discrete variables. The constraints imposed to the optimization are the allowable stress and the displacement limits on nodes. Various truss structure examples with fixed geometries are presented in order to demonstrate the effectiveness of the VNS and its extensions compared with other methods.

Variable neighborhood search ; truss structures ; Size optimization ; Discrete variables ; Metaheuristic algorithm

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Podaci o izdanju

46

2022.

1249-1264

objavljeno

2228-6160

10.1007/s40996-021-00704-w

Povezanost rada

Računarstvo, Strojarstvo, Temeljne tehničke znanosti

Poveznice
Indeksiranost