Optimal design of truss-structures using particle swarm optimization

被引:86
|
作者
Luh, Guan-Chun [1 ]
Lin, Chun-Yi [1 ]
机构
[1] Tatung Univ, Dept Mech Engn, Taipei 104, Taiwan
关键词
Particle swarm optimization; Truss-structure optimization; BPSO; ARPSO; ALGORITHM; SHAPE;
D O I
10.1016/j.compstruc.2011.08.013
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A two-stage particle swarm optimization was utilized in this study to solve truss-structure optimization problem achieving minimum weight objective under stress, deflection, and kinematic stability constraints. The topologies of the truss-structure were optimized first from a given ground structure employing the modified binary particle swarm optimization (BPSO), and subsequently the size and shape of members were optimized utilizing the attractive and repulsive particle swarm optimization (ARPSO). The effectiveness of the proposed methodology was evaluated through a two-tier, 39-member, 12-node ground structure problem. It was observed that the proposed methodology can find superior truss structures than those reported in the literatures. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2221 / 2232
页数:12
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