摘要
遗传算法作为一种生物进化计算模型,在优化计算中得到了广泛应用,但其存在的缺陷,影响了其在一些问题求解中的正确性和有效性。将生物免疫算法与遗传算法相结合,提出一种改进的免疫遗传算法(IGA),并用IGA对PID参数寻优,仿真结果表明:该算法大大提高了控制的动、静态性能。
Genetic algorithm has been applied widely to optimize as a kind of biological evolution calculation model.But it affects the effectiveness in finding the solution of the problem. As an imprvoed algrothim, Immune genetic algorithm has been proposed. It is used to optimzed PID parameters, The result of simulation shows that the preformation of system has been improved.
出处
《榆林学院学报》
2009年第4期15-17,共3页
Journal of Yulin University
关键词
免疫遗传算法
PID
优化
immune genetic algorithm
PID
optimation
