改进遗传算法在MRFD半主动控制系统优化配置中的应用

为了解决磁流变阻尼器(Magnetorheological Fluid Damper,简称MRFD)控制装置在建筑结构上的优化配置问题,提出了一种改进遗传算法。该方法在进行遗传操作时,为了避免因采用普通遗传算法中的交叉和基本变异操作而产生违反约束条件的个体,应用了一种改进的交叉和变异方法,即通过产生的识别码进行判断交叉,并采用了双基因座变异,以满足约束条件。对改进遗传算法与普通遗传算法中处理约束问题的罚函数方法进行了分析比较和计算,结果表明:改进遗传算法的收敛速度快,优化配置的效果较好。

OPTIMAL PLACEMENT OF MRFD USING IMPROVED GENETIC ALGORITHMS

In order to study optimal placement of magnetorheological fluid damper (MRFD) in semi-actively controlled structures, an improved genetic algorithm is presented in this paper. To avoid the constraint violations caused by crossover and basic mutation operation of the general genetic algorithms, a new genetic operation approach, i.e. improved genetic algorithm, is applied. The improved genetic algorithm produces an identification code for crossing and two-gene place to mutate. Thus, the improved crossover and mutation operation guarantee the fulfillment of constraints. The analytical results of the improved genetic algorithm and the general genetic algorithm are compared. It is concluded that the converging speed of the improved genetic algorithm is faster than that of general genetic algorithm and the control effect by optimal placement is satisfactory.