Discrete Optimization of Truss Structures Using Variable Neighborhood Search (CROSBI ID 302922)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
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