基于改进遗传算法的离散变量结构优化设计

Optimal Design of Structures with Discrete Variables Based on Improved Genetic Algorithms

根据工程实际,充分考虑规范规定的约束条件和各项技术标准要求,建立了离散变量结构优化模型。针对遗传算法的缺陷,提出了一种改进的遗传算法。算例结果表明,改进的遗传算法收敛快、精度高,应用于离散变量结构优化设计是有效的。

On the basis of the practical structure design of engineering, the constraint conditions that the norm stipulates and the demands of various engineering standards were sufficiently considered, and a model of structural optimization with discrete variables was derived. Moreover an improved genetic algorithms（IGA） was proposed for the defects of the genetic algorithrns（GA）. The results by exemplification expatiated that IGA, of high accuracy, can be applied to optimal design of structures with discrete variables.