基于遗传算法的桁架结构布局优化设计

利用遗传算法在Matlab语言环境中对桁架结构进行布局优化设计方法的研究,分别选择杆件截面面积、节点坐标、杆件存在状态为设计变量,同时进行截面尺寸、形状、拓扑三个方面的优化.讨论了实现过程中一些问题的处理,利用结构可能的拓扑形式编号为设计变量进行拓扑优化等,提出利用一个变量控制参数boundsops解决了多类型参数联合编码和离散变量的问题,提出一种结构优化设计实用方法.算例表明,提出的基于遗传算法的桁架结构布局优化设计方法进行桁架结构的布局优化设计比较容易实现,简单、有效,可以产生很好的效益.

Layout Design Optimization of Truss Structures Using Genetic Algorithm

The paper focuses on the layout optimization of steel truss structures, including sizing, shape and topology optimization. The genetic algorithm is used in Matlab. The cross-section areas of members, nodal locations and element connectivity conditions are treated as design variables. Some questions in layout optimization are discussed. The number of possible topo-mode is used to topology optimization and a parameter is proposed for controlling various types of discrete variables to coding. A practical method to structures design optimization is suggested. The exemplification results shows that the method proposed is really simple and efficient to the layout optimization of truss structures.