基于PSO的工程结构优化方法研究

为提高工程结构优化的精度,应用了一种耦合惩罚函数的粒子群优化算法。该算法是从鸟群觅食活动中受到启发而得到的进化算法,其中以结构总重量为目标函数,以应力、位移和力为约束条件,研究粒子群参数变化对结果的影响。协调的参数组合可以避免陷入早熟收敛而能够快速获得全局的最优解。通过与ANSYS优化模块和其他方法的计算结果比较验证了该方法的有效性。

Research on Engineering Structure Optimization Method Based on PSO

In order to increase the precision of optimum design of engineering structures, a particle swarm optimization (PSO)method incorporated with a penalty function is applied. The method is a new kind of evolutional computing technique inspired by bird's behaviour of searching food in natural world. It researches the influences of the changes of particle swarm optimization parameters on the effects, taking the total weight of the structure as the objective function, and stresses, displacements and force as the c...