摘要
本文设计了一种用于控制系统参数优化的快速遗传算法。该算法采用浮点数编码方法、排序选择、最优保存策略、分组并行运算等措施,有效抑制了算法早熟,提高了算法的全局搜索能力和局部搜索能力。仿真结果表明利用该遗传算法可以得到令人满意的优化参数。
A improved genetic algorithm is introduced to optimize control system parameters of thermal process,
in which the floating-point genes, rank--based model, elitist model and parallel algorithm are used. The prema-
ture convergence is eliminated, the global and local searching ability is improved. It is shown by simulation re-
searches that the genetic algorithm can get appropriate controller parameters.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2003年第z2期605-606,共2页
Chinese Journal of Scientific Instrument
关键词
遗传算法
参数优化
热工过程
Genetic algorithm
Parameter optimization
Thermal process
