Optimization of trusses using genetic algorithms for discrete and continuous variables

被引：64

作者：

Ghasemi, MR ^{[1
]}

Hinton, E ^{[1
]}

Wood, RD ^{[1
]}

机构：

[1] Univ Wales, Dept Civil Engn, ADOPT Grp, Swansea, W Glam, Wales

来源：

ENGINEERING COMPUTATIONS | 1999年 / 16卷 / 2-3期

关键词：

benchmarking; genetic algorithms; optimization; trusses;

D O I：

10.1108/02644409910266403

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper demonstrates the use of genetic algorithms (GAs) for size optimization of trusses. The concept of rebirthing is shown to be considerably effective for problems involving continuous design variables. Some benchmark examples are studied involving 4-bar, 10-bar, 64-bar, 200-bar and 940-bar two-dimensional trusses. Both continuous and discrete variables are considered.

引用

页码：272 / 301

页数：30

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