Sizing, shaping, and topology optimization of truss-structure using ant algorithms

被引：0

作者：

Luh, GC ^{[1
]}

Lin, CY ^{[1
]}

机构：

[1] Tatung Univ, Dept Mech Engn, Taipei, Taiwan

来源：

Proceedings of the 8th Joint Conference on Information Sciences, Vols 1-3 | 2005年

关键词：

ant algorithm; Ant System; API algorithm; truss-structure optimization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, a two-stage ant algorithm consisting of the Ant System and the API (after Pachycondyla APIcalis) algorithm was employed for finding optimal cross-sectional size, topology, and shape truss-structure to achieve minimum weight obective under stress, deflection, and kinematic stability constraints. The effectiveness of the proposed ant algorithm is evaluated through a two-tier, 12-node, 39-member ground structure.

引用

下载

页码：471 / 474

页数：4

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