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离散变量结构拓扑优化协同混合遗传算法
A Co-Hybrid Genetic Algorithm for the Topology Optimization of Structure with Discrete Variables
【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
【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.
【关键词】 拓扑优化;
离散变量;
协同演化;
混合遗传算法;
【Key words】 topology optimization; discrete variables; co-evolution; hybrid genetic algorithm;
【Key words】 topology optimization; discrete variables; co-evolution; hybrid genetic algorithm;
- 【文献出处】 湘潭大学自然科学学报 ,Natural Science Journal of Xiangtan University , 编辑部邮箱 ,2005年01期
- 【分类号】O189.1
- 【被引频次】5
- 【下载频次】174