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

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.

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.