Structural reliability-based optimization design using PSO-DE hybrid algorithm

被引：2

作者：

Jong, Chanhyok ^{[1
,2
]}

Meng, Guang-Wei ^{[1
]}

Li, Feng ^{[1
]}

Zhou, Li-Ming ^{[1
]}

Kong, Yongsu ^{[1
]}

机构：

[1] College of Mechanical Science and Engineering, Jilin University, Changchun , 130022, Jilin

[2] Department of Mathematics and Mechanics, University of Science, Pyongyang

来源：

Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2014年 / 42卷 / 09期

关键词：

Differential evolution algorithm; Particle swarm optimization algorithm; Reliability optimization; Stochastic structure;

D O I：

10.3969/j.issn.1000-565X.2014.09.008

中图分类号：

学科分类号：

摘要：

In order to enhance the efficiency of structural reliability-based optimization design, a PSO-DE hybrid algorithm is proposed on the basis of search features of the particle swarm optimization (PSO) and differential evolution (DE) algorithms. This algorithm overcomes the premature convergence of basic PSO algorithm. Moreover, by combining the PSO-DE hybrid algorithm with the structural reliability-based optimization theory, an optimization model is established to minimize the structure mass under the constraint of structural system failure probability. Case analyses show that, in comparison with the basic PSO algorithm, the proposed PSO-DE hybrid algorithm improves the convergence rate and the computational accuracy, and the algorithm is easy to implement with strong robustness. ©, 2014, South China University of Technology. All right reserved.

引用

页码：41 / 45and75

页数：4534

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