离散变量结构优化设计的拟满应力遗传算法

AN IMITATIVE FULL-STRESS GENETIC ALGORITHM FOR STRUCTUEAL OPTIMIZATION WITH DISCRETE VARIABLES

  • 摘要: 以力学准则法为基础,提出了一种求解离散变量结构优化设计的拟满应力方法;这种方法能直接求解具有应力约束和几何约束的离散变量结构优化设计问题.通过在遗传算法中定义拟满应力算子,建立了一种离散变量结构优化设计的混合遗传算法拟满应力遗传算法.算例表明;这种混合遗传算法对于离散变量结构优化设计问题具有较高的计算效率.

     

    Abstract: On the basis of full-stress design, an imitative full-stress design method is proposed for structural optimum design with discrete variables. The structural optimum design with discrete variables under stress and section size constraints is performed using this method. Through introducing an imitative full-stress design operator in the genetic algorithm, a hybrid genetic algorithm for structural optimization with discrete variables is presented in this paper. Numerical results show that the hybrid genetic algorithm is efficient for structural optimum design with discrete variables.

     

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