摘要
本文介绍一种改进遗传算法，通过引入强制变异算子，避免了超级个体的出现，保证了杂交算子的有效性，提高了遗传算法的全局寻优能力．用改进的遗传算法代化仿人智能控制器．得到了理想的结果，由此得出一阶纯滞后对象的OIC参数整定公式．
The paper proposed the modified genetic algorithm by inbroducing the operator of mandatory mutation so as to avoid the emergence of the auper individual guarantee thevalidity of the crossover operator and enhance the overall ability of seexing the optima resultof the genetic aigorithm Thus the ideal simulating mulating result can be got by using themodified genetic algorithm to optimizing IC. so that the OIC formula of calculating parameters for the first order process with time-delay is got.
出处
《湖南教育学院学报》
1997年第2期44-48,共5页
Journal of Hunan Educational Institute
关键词
遗传算法
超级个体
智能控制
参数优化
genetic slgorithm
super individual
intelligent control
optimizing parameter
