以输电塔阻尼器优化布置方法为研究对象,提出了一种多目标优化的混合遗传算法.该算法将遗传算法与劣出优入算法相结合,选取输电塔的H2和H∞范数、阻尼器的总量与阻尼器平均耗能作为优化的目标函数,对输电塔阻尼器的布置方式进行了优化.通过对多个优化方案的比较分析说明,应用该方法并合理选用目标函数得到的阻尼器优化布置结果,不仅有效的控制了输电塔的风振,同时减少了需要安装的阻尼器数量.
A kind of hybrid genetic method composed of the genetic algorithm and the worst -out- best-in search algorithm is presented based on multi - objects for optimizing the damper distribution of transmission towers. The H2 norm and H∞ norm of the transmission tower, the total number of dampers and the average energy absorption in one damper are selected as the objective functions to control the wind - induced dynamic response. Applying the proposed optimization method with different parameters, the feasible damper distribution within the tower can be obtained, which can reduce the wind - induced dynamic response of the tower greatly and the total number of dampers at the same time.