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离散变量结构拓扑优化协同混合遗传算法
引用本文:赵丽红,寇智勇,孙洪军. 离散变量结构拓扑优化协同混合遗传算法[J]. 湘潭大学自然科学学报, 2005, 27(1): 61-66
作者姓名:赵丽红  寇智勇  孙洪军
作者单位:辽宁工学院,土木建筑系,辽宁,锦州,121001
摘    要:针对离散变量桁架结构拓扑优化问题,提出了将拟满应力法与遗传算法相结合的混合遗传算法,并引入了拓扑和尺寸协同演化的思想,使得桁架拓扑和尺寸的演化能够相互独立又协同进行.并给出算例证明该方法是非常有效的

关 键 词:拓扑优化  离散变量  协同演化  混合遗传算法
文章编号:1000-5900(2005)01-0061-06
修稿时间:2004-10-21

A Co-Hybrid Genetic Algorithm for the Topology Optimization of Structure with Discrete Variables
ZHAO Li-hong,KOU Zhi-yong,SUN Hong-jun. A Co-Hybrid Genetic Algorithm for the Topology Optimization of Structure with Discrete Variables[J]. Natural Science Journal of Xiangtan University, 2005, 27(1): 61-66
Authors:ZHAO Li-hong  KOU Zhi-yong  SUN Hong-jun
Abstract:The purpose of this paper is to present a hybrid genetic algorithm based on the genetic algorithm and the imitative full-stress method, according to the problems of topology optimization of truss structure with discrete variables. The approach adopted in the study is known as a co-evolution algorithm used to solve topology and size optimization of trusses. The results of examples indicate that the hybrid genetic algorithm is feasible and efficient.
Keywords:topology optimization  discrete variables  co-evolution  hybrid genetic algorithm
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