1. 同济大学 结构工程与防灾研究所,上海,200092
2. 日本近畿大学 理工学部建筑学科, 577,大阪,日本,8502
纸质出版:2010
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唐和生, 王兆亮, 薛松涛. 微分演化算法在桁架形状优化中的应用[J]. 土木与环境工程学报(中英文), 2010,32(1):42-50.
TANG Hesheng, WANG Zhaoliang, XUE Songtao. Truss Structure Shape Optimization withDifferential Evolution Algorithm[J]. Journal of Civil and Environmental Engineering, 2010, 32(1): 42-50.
唐和生, 王兆亮, 薛松涛. 微分演化算法在桁架形状优化中的应用[J]. 土木与环境工程学报(中英文), 2010,32(1):42-50. DOI: 10.11835/j.issn.1674-4764.2010.01.009.
TANG Hesheng, WANG Zhaoliang, XUE Songtao. Truss Structure Shape Optimization withDifferential Evolution Algorithm[J]. Journal of Civil and Environmental Engineering, 2010, 32(1): 42-50. DOI: 10.11835/j.issn.1674-4764.2010.01.009.
为了获得全局最优和解决具有应力约束、几何约束以及局部稳定性约束的桁架形状优化问题中2类不同设计变量耦合给优化带来的困难,将1种新型智能优化算法——微分演化(Differential Evolution,DE)应用于桁架结构的形状优化问题中。给出了考虑节点坐标和截面面积两类不同性质的设计变量的桁架结构优化的数学模型,并对几个经典的桁架结构进行优化,将所得结果与其他优化算法结果进行了比较。数值结果表明了DE算法具有良好的收敛性和稳定性,可以有效地进行桁架结构的形状优化设计。
Differential Evolution (DE) was introduced to get the global optimum and overcome the difficulties encountered by coupling two types of design variables in the shape optimization of truss structures with stress
geometry
and local stability constraints. The basic principle of DE algorithm was presented in detail first
and then mathematical model for shape optimization of truss structures was presented
in which two types of design variables
such as the node coordinates and section areas
were considered simultaneously. Several classical problems were solved with DE algorithm
and the results were compared with those using the other optimization methods. It was shown that DE algorithm had good convergence and stability and could be applied for shape optimization of truss structures effectively.
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