A modified ant colony optimization algorithm for dynamic topology optimization

被引：21
|
作者：
Yoo, Kwang-Seon [1 ]
Han, Seog-Young [2 ]
机构：
[1] Hanyang Univ, Grad Sch, Dept Mech Engn, Seoul 133791, South Korea
[2] Hanyang Univ, Sch Mech Engn, Seoul 133791, South Korea
来源：
COMPUTERS & STRUCTURES | 2013年 / 123卷
关键词：
Modified ant colony optimization (MACO); Ant colony optimization (ACO); Dynamic topology optimization for natural frequencies; Finite element method; EVOLUTIONARY STRUCTURAL OPTIMIZATION; VIBRATING CONTINUUM STRUCTURES; DESIGN; MAXIMIZATION;
D O I：
10.1016/j.compstruc.2013.04.012
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A modified ant colony optimization (MACO) algorithm implementing a new definition of pheromone and a new cooperation mechanism between ants is presented in this paper. The sensitivity of structural response to the presence of each element included in the finite element (FE) model is evaluated. The study aims to improve the suitability and computational efficiency of the ant colony optimization algorithm in dynamic topology optimization problems. The natural frequencies of the structure must be maximized yet satisfying a constraint on the final volume. Optimization results obtained in three test cases indicate that MACO is more efficient and robust than standard ACO in solving dynamic topology optimization problems. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码：68 / 78
页数：11
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