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混合遗传算法在离散变量结构优化中的应用
引用本文:王德伟,常彦铮. 混合遗传算法在离散变量结构优化中的应用[J]. 山西建筑, 2011, 37(33): 41-42
作者姓名:王德伟  常彦铮
作者单位:陕西省现代建筑设计研究院,陕西西安,710048
摘    要:针对遗传算法在离散变量结构优化设计中的缺陷,将进退搜索算法同遗传算法相结合,提出了一种混合遗传算法。建立了离散变量结构优化模型,并对一11杆桁架结构进行了优化设计。算例结果表明,混合遗传算法收敛快、精度高,应用于离散变量结构优化设计是有效的。

关 键 词:离散变量  结构优化  遗传算法  混合遗传算法

Optimal design of structures with discrete variables by Hybrid Genetic Algorithms
WANG De-wei CHANG Yan-zheng. Optimal design of structures with discrete variables by Hybrid Genetic Algorithms[J]. Shanxi Architecture, 2011, 37(33): 41-42
Authors:WANG De-wei CHANG Yan-zheng
Affiliation:WANG De-wei CHANG Yan-zheng
Abstract:In this paper,an Hybrid Genetic Algorithms(HGA) which combined with Forward-and-Back Searching Algorithms(FBSA) was proposed for the defects of the Genetic Algorithms(GA),and a model of structural optimization with discrete variables was derived.A truss structure with 11 bars is optimized as well.Calculation results show the Hybrid Genetic Algorithms is fast in convergence and high in accuracy,which will be effective in optimization design of discrete variable.
Keywords:discrete variable  structural optimization  Genetic Algorithms  Hybrid Genetic Algorithms  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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