Discrete Optimization of Truss Structures Using Variable Neighborhood Search

被引：6

作者：

Sedlar, Damir ^{[1
]}

Lozina, Zeljan ^{[1
]}

Tomac, Ivan ^{[1
]}

机构：

[1] Univ Split, Fac Elect Engn Mech Engn & Naval Architecture, Rudjera Boskovica 32, Split 21000, Croatia

来源：

IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING | 2022年 / 46卷 / 02期

关键词：

Variable neighborhood search; Truss structures; Size optimization; Discrete variables; Metaheuristic algorithm; OPTIMAL-DESIGN; ALGORITHM; STRATEGY;

D O I：

10.1007/s40996-021-00704-w

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页码：1249 / 1264

页数：16

共 40 条

[11] Fully Constrained Design: A general and scalable method for discrete member sizing optimization of steel truss structures [J].